From de1e88999b235e393d02b24f2eb7978489165ab7 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Wed, 6 Sep 2023 20:35:17 +0200
Subject: [PATCH 01/31] first draft, including rasterization in show

---
 src/spatialdata_plot/pl/basic.py  | 59 +++++++++++++++++++++-------
 src/spatialdata_plot/pl/render.py |  3 +-
 src/spatialdata_plot/pl/utils.py  | 65 +++++++++++++++++++++++++++++--
 3 files changed, 108 insertions(+), 19 deletions(-)

diff --git a/src/spatialdata_plot/pl/basic.py b/src/spatialdata_plot/pl/basic.py
index e228f2ac..abc57d34 100644
--- a/src/spatialdata_plot/pl/basic.py
+++ b/src/spatialdata_plot/pl/basic.py
@@ -19,7 +19,7 @@
 from multiscale_spatial_image.multiscale_spatial_image import MultiscaleSpatialImage
 from pandas.api.types import is_categorical_dtype
 from spatial_image import SpatialImage
-from spatialdata._logging import logger as logg
+from spatialdata._core.operations.rasterize import rasterize
 
 from spatialdata_plot._accessor import register_spatial_data_accessor
 from spatialdata_plot.pl.render import (
@@ -40,7 +40,9 @@
 )
 from spatialdata_plot.pl.utils import (
     _get_cs_contents,
+    _get_elements_to_rasterize,
     _get_extent,
+    _get_valid_cs,
     _maybe_set_colors,
     _mpl_ax_contains_elements,
     _prepare_cmap_norm,
@@ -585,24 +587,34 @@ def show(
                         [params.elements] if isinstance(params.elements, str) else params.elements
                     )
 
-        extent = _get_extent(
+        # filter out cs without relevant elements
+        coordinate_systems = _get_valid_cs(
             sdata=sdata,
-            has_images="render_images" in render_cmds,
-            has_labels="render_labels" in render_cmds,
-            has_points="render_points" in render_cmds,
-            has_shapes="render_shapes" in render_cmds,
-            elements=elements_to_be_rendered,
             coordinate_systems=coordinate_systems,
+            render_images="render_images" in render_cmds,
+            render_labels="render_labels" in render_cmds,
+            render_points="render_points" in render_cmds,
+            render_shapes="render_shapes" in render_cmds,
+            elements=elements_to_be_rendered,
         )
 
+        # extent = _get_extent(
+        #     sdata=sdata,
+        #     has_images="render_images" in render_cmds,
+        #     has_labels="render_labels" in render_cmds,
+        #     has_points="render_points" in render_cmds,
+        #     has_shapes="render_shapes" in render_cmds,
+        #     elements=elements_to_be_rendered,
+        #     coordinate_systems=coordinate_systems,
+        # )
         # Use extent to filter out coordinate system without the relevant elements
-        valid_cs = []
-        for cs in coordinate_systems:
-            if cs in extent:
-                valid_cs.append(cs)
-            else:
-                logg.info(f"Dropping coordinate system '{cs}' since it doesn't have relevant elements.")
-        coordinate_systems = valid_cs
+        # valid_cs = []
+        # for cs in coordinate_systems:
+        #     if cs in extent:
+        #         valid_cs.append(cs)
+        #     else:
+        #         logg.info(f"Dropping coordinate system '{cs}' since it doesn't have relevant elements.")
+        # coordinate_systems = valid_cs
 
         # set up canvas
         fig_params, scalebar_params = _prepare_params_plot(
@@ -628,6 +640,15 @@ def show(
         # go through tree
         for i, cs in enumerate(coordinate_systems):
             sdata = self._copy()
+            # TODO: adapt rasterization
+            to_rasterize = _get_elements_to_rasterize(sdata, cs)
+            if len(to_rasterize) > 0:
+                for el in to_rasterize:
+                    rasterized = rasterize(sdata[el], ("y", "x"), [0, 0], [512, 512], cs, target_unit_to_pixels=0.08)
+                    # TODO: change!!! look at labels
+                    if el == "blobs_multiscale_image":
+                        sdata.images[el] = rasterized
+
             # properly transform all elements to the current coordinate system
             members = cs_contents.query(f"cs == '{cs}'")
 
@@ -659,7 +680,6 @@ def show(
                         fig_params=fig_params,
                         scalebar_params=scalebar_params,
                         legend_params=legend_params,
-                        # extent=extent[cs],
                     )
                 elif cmd == "render_shapes" and cs_contents.query(f"cs == '{cs}'")["has_shapes"][0]:
                     _render_shapes(
@@ -724,6 +744,15 @@ def show(
                     cs_contents.query(f"cs == '{cs}'")["has_shapes"][0],
                 ]
             ):
+                extent = _get_extent(
+                    sdata=sdata,
+                    has_images="render_images" in render_cmds,
+                    has_labels="render_labels" in render_cmds,
+                    has_points="render_points" in render_cmds,
+                    has_shapes="render_shapes" in render_cmds,
+                    elements=elements_to_be_rendered,
+                    coordinate_systems=cs,
+                )
                 # If the axis already has limits, only expand them but not overwrite
                 x_min = min(x_min_orig, extent[cs][0]) - pad_extent
                 x_max = max(x_max_orig, extent[cs][1]) + pad_extent
diff --git a/src/spatialdata_plot/pl/render.py b/src/spatialdata_plot/pl/render.py
index c849be41..b7b4f76d 100644
--- a/src/spatialdata_plot/pl/render.py
+++ b/src/spatialdata_plot/pl/render.py
@@ -272,8 +272,9 @@ def _render_images(
     images = [sdata.images[e] for e in elements]
     for img, img_key in zip(images, elements):
         if not isinstance(img, spatial_image.SpatialImage):
+            logger.warning(f"Unrasterized multi-scale image '{img_key}' in _render_images. Using scale0.")
             img = Image2DModel.parse(img["scale0"].ds.to_array().squeeze(axis=0))
-            logger.warning(f"Multi-scale images not yet supported, using scale0 of multi-scale image '{img_key}'.")
+            # logger.warning(f"Multi-scale images not yet supported, using scale0 of multi-scale image '{img_key}'.")
 
         if render_params.channel is None:
             channels = img.coords["c"].values
diff --git a/src/spatialdata_plot/pl/utils.py b/src/spatialdata_plot/pl/utils.py
index 981701dd..03f6d8cc 100644
--- a/src/spatialdata_plot/pl/utils.py
+++ b/src/spatialdata_plot/pl/utils.py
@@ -38,6 +38,7 @@
 from matplotlib.figure import Figure
 from matplotlib.gridspec import GridSpec
 from matplotlib_scalebar.scalebar import ScaleBar
+from multiscale_spatial_image.multiscale_spatial_image import MultiscaleSpatialImage
 from numpy.random import default_rng
 from pandas.api.types import CategoricalDtype, is_categorical_dtype
 from scanpy import settings
@@ -348,9 +349,12 @@ def _get_extent_after_transformations(element: Any, cs_name: str) -> Sequence[in
             transformations = get_transformation(tmp, to_coordinate_system=cs_name)
             transformations = _flatten_transformation_sequence(transformations)
 
-            if len(transformations) == 1 and isinstance(
-                transformations[0], sd.transformations.transformations.Identity
-            ):
+            if (
+                len(transformations) == 1
+                and isinstance(transformations[0], sd.transformations.transformations.Identity)
+            ) or (
+                1 == 1
+            ):  # TODO: find different solution for this (aka new get_extent shouldn't have this problem anyways)
                 result = (0, tmp.shape[x_idx], 0, tmp.shape[y_idx])
 
             else:
@@ -1323,3 +1327,58 @@ def _mpl_ax_contains_elements(ax: Axes) -> bool:
     return (
         len(ax.lines) > 0 or len(ax.collections) > 0 or len(ax.images) > 0 or len(ax.patches) > 0 or len(ax.tables) > 0
     )
+
+
+def _get_valid_cs(
+    sdata: sd.SpatialData,
+    coordinate_systems: Sequence[str],
+    render_images: bool,
+    render_labels: bool,
+    render_points: bool,
+    render_shapes: bool,
+    elements: list[str],
+) -> Sequence[str]:
+    """Get names of the valid coordinate systems.
+
+    Valid cs are cs that contain elements to be rendered:
+    1. In case the user specified elements:
+        all cs that contain at least one of those elements
+    2. Else:
+        all cs that contain at least one element that should
+        be rendered (depending on whether images/points/labels/...
+        should be rendered)
+    """
+    cs_mapping = _get_coordinate_system_mapping(sdata)
+    valid_cs = []
+    for cs in coordinate_systems:
+        if (len(elements) > 0 and any(e in elements for e in cs_mapping[cs])) or (
+            len(elements) == 0
+            and (
+                (len(sdata.images.keys()) > 0 and render_images)
+                or (len(sdata.labels.keys()) > 0 and render_labels)
+                or (len(sdata.points.keys()) > 0 and render_points)
+                or (len(sdata.shapes.keys()) > 0 and render_shapes)
+            )
+        ):  # not nice, but ruff wants it (SIM114)
+            valid_cs.append(cs)
+        else:
+            logging.info(f"Dropping coordinate system '{cs}' since it doesn't have relevant elements.")
+    return valid_cs
+
+
+def _get_elements_to_rasterize(
+    sdata: sd.SpatialData,
+    coordinate_system: str,
+) -> list[str]:
+    """Test which SpatialData elements need to be rasterized.
+
+    Given a coordinate system, test if there are MultiscaleSpatialImage objects
+    Their names are returned.
+    """
+    cs_mapping = _get_coordinate_system_mapping(sdata)
+    elements = cs_mapping[coordinate_system]
+    to_rasterize = []
+    for e in elements:
+        if isinstance(sdata[e], MultiscaleSpatialImage):
+            to_rasterize.append(e)
+    return to_rasterize

From 6050cfc483273d36ae0d10aceb7b6b94614be151 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Thu, 7 Sep 2023 16:01:15 +0200
Subject: [PATCH 02/31] working version for images

---
 src/spatialdata_plot/pl/basic.py | 57 ++++++++++++++++++++++----------
 src/spatialdata_plot/pl/utils.py | 31 +++++++++++------
 2 files changed, 61 insertions(+), 27 deletions(-)

diff --git a/src/spatialdata_plot/pl/basic.py b/src/spatialdata_plot/pl/basic.py
index abc57d34..6bcbf286 100644
--- a/src/spatialdata_plot/pl/basic.py
+++ b/src/spatialdata_plot/pl/basic.py
@@ -640,14 +640,46 @@ def show(
         # go through tree
         for i, cs in enumerate(coordinate_systems):
             sdata = self._copy()
-            # TODO: adapt rasterization
-            to_rasterize = _get_elements_to_rasterize(sdata, cs)
-            if len(to_rasterize) > 0:
-                for el in to_rasterize:
-                    rasterized = rasterize(sdata[el], ("y", "x"), [0, 0], [512, 512], cs, target_unit_to_pixels=0.08)
-                    # TODO: change!!! look at labels
-                    if el == "blobs_multiscale_image":
-                        sdata.images[el] = rasterized
+
+            # TODO: adapt this to the new get_extent
+            extent = _get_extent(
+                sdata=sdata,
+                has_images="render_images" in render_cmds,
+                has_labels="render_labels" in render_cmds,
+                has_points="render_points" in render_cmds,
+                has_shapes="render_shapes" in render_cmds,
+                elements=elements_to_be_rendered,
+                coordinate_systems=cs,
+            )
+
+            # rasterize MultiscaleSpatialImage objects
+            to_rasterize = _get_elements_to_rasterize(sdata, cs, elements_to_be_rendered)
+            for el in to_rasterize:
+                # TODO: add option for the user to select a specific scale (or use auto)
+                # TODO: for 3rd and 4th argument, we need the min and max extent of scale0 of the MultiscaleImage
+                # (for y and x axis). I tried with smaller values but then we don't get the full image.
+                # TODO: target_unit_to_pixels argument: determines resolution. I think 1 is original/highest possible
+                # resolution, so values > 1 don't make sense. values < 1 lead to lower resolution. Question: for `auto`
+                # mode, which value is best? probably needs to be determined heuristically. E.g. for
+                # visium_associated_xenium_io: I would choose 0.1
+                rasterized = rasterize(
+                    sdata[el],
+                    ("y", "x"),
+                    [extent[cs][2], extent[cs][0]],
+                    [extent[cs][3], extent[cs][1]],
+                    cs,
+                    target_unit_to_pixels=0.1,
+                )
+                # TODO: print message about which element was rasterized with logger?
+                if el in sdata.images:
+                    sdata.images[el] = rasterized
+                elif el in sdata.labels:
+                    sdata.labels[el] = rasterized
+                else:
+                    raise ValueError(
+                        f"{el} seems to be a MultiscaleImage but is not in labels or images. "
+                        "Rasterization of points or shapes is currently not intended or supported."
+                    )
 
             # properly transform all elements to the current coordinate system
             members = cs_contents.query(f"cs == '{cs}'")
@@ -744,15 +776,6 @@ def show(
                     cs_contents.query(f"cs == '{cs}'")["has_shapes"][0],
                 ]
             ):
-                extent = _get_extent(
-                    sdata=sdata,
-                    has_images="render_images" in render_cmds,
-                    has_labels="render_labels" in render_cmds,
-                    has_points="render_points" in render_cmds,
-                    has_shapes="render_shapes" in render_cmds,
-                    elements=elements_to_be_rendered,
-                    coordinate_systems=cs,
-                )
                 # If the axis already has limits, only expand them but not overwrite
                 x_min = min(x_min_orig, extent[cs][0]) - pad_extent
                 x_max = max(x_max_orig, extent[cs][1]) + pad_extent
diff --git a/src/spatialdata_plot/pl/utils.py b/src/spatialdata_plot/pl/utils.py
index 03f6d8cc..fbe3ce2a 100644
--- a/src/spatialdata_plot/pl/utils.py
+++ b/src/spatialdata_plot/pl/utils.py
@@ -349,12 +349,9 @@ def _get_extent_after_transformations(element: Any, cs_name: str) -> Sequence[in
             transformations = get_transformation(tmp, to_coordinate_system=cs_name)
             transformations = _flatten_transformation_sequence(transformations)
 
-            if (
-                len(transformations) == 1
-                and isinstance(transformations[0], sd.transformations.transformations.Identity)
-            ) or (
-                1 == 1
-            ):  # TODO: find different solution for this (aka new get_extent shouldn't have this problem anyways)
+            if len(transformations) == 1 and isinstance(
+                transformations[0], sd.transformations.transformations.Identity
+            ):
                 result = (0, tmp.shape[x_idx], 0, tmp.shape[y_idx])
 
             else:
@@ -1175,11 +1172,18 @@ def _translate_image(
         shifts[axis] = int(translation.translation[idx])
 
     img = image.values.copy()
+    # for yx images (important for rasterized MultiscaleImages as labels)
+    # TODO: this doesn't work as it should yet... no errors but blank image in the end
+    expanded_dims = False
+    if len(img.shape) == 2:
+        img = np.expand_dims(img, axis=0)
+        expanded_dims = True
+
     shifted_channels = []
 
     # split channels, shift axes individually, them recombine
-    if len(image.shape) == 3:
-        for c in range(image.shape[0]):
+    if len(img.shape) == 3:
+        for c in range(img.shape[0]):
             channel = img[c, :, :]
 
             # iterates over [x, y]
@@ -1199,11 +1203,15 @@ def _translate_image(
 
             shifted_channels.append(channel)
 
-    return Image2DModel.parse(
+    result = Image2DModel.parse(
         np.array(shifted_channels),
         dims=["c", "y", "x"],
         transformations=image.attrs["transform"],
     )
+    if expanded_dims:
+        # undo the dimension expansion from before
+        result = result[0, :, :]
+    return result
 
 
 def _convert_polygon_to_linestrings(polygon: Polygon) -> list[LineString]:
@@ -1369,6 +1377,7 @@ def _get_valid_cs(
 def _get_elements_to_rasterize(
     sdata: sd.SpatialData,
     coordinate_system: str,
+    elements_to_be_rendered: list[str],
 ) -> list[str]:
     """Test which SpatialData elements need to be rasterized.
 
@@ -1379,6 +1388,8 @@ def _get_elements_to_rasterize(
     elements = cs_mapping[coordinate_system]
     to_rasterize = []
     for e in elements:
-        if isinstance(sdata[e], MultiscaleSpatialImage):
+        if (e in elements_to_be_rendered or len(elements_to_be_rendered) == 0) and isinstance(
+            sdata[e], MultiscaleSpatialImage
+        ):
             to_rasterize.append(e)
     return to_rasterize

From 4858eca978ba94b70b3ed99372558b01902908cf Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Wed, 27 Sep 2023 11:48:47 +0200
Subject: [PATCH 03/31] user can select scale

---
 src/spatialdata_plot/pl/basic.py  | 95 +++++++++++++++++++------------
 src/spatialdata_plot/pl/render.py | 11 ++--
 src/spatialdata_plot/pl/utils.py  | 12 ++--
 3 files changed, 72 insertions(+), 46 deletions(-)

diff --git a/src/spatialdata_plot/pl/basic.py b/src/spatialdata_plot/pl/basic.py
index 6bcbf286..848940d8 100644
--- a/src/spatialdata_plot/pl/basic.py
+++ b/src/spatialdata_plot/pl/basic.py
@@ -20,8 +20,10 @@
 from pandas.api.types import is_categorical_dtype
 from spatial_image import SpatialImage
 from spatialdata._core.operations.rasterize import rasterize
+from spatialdata.models import Image2DModel, Labels2DModel
 
 from spatialdata_plot._accessor import register_spatial_data_accessor
+from spatialdata_plot._logging import logger
 from spatialdata_plot.pl.render import (
     _render_images,
     _render_labels,
@@ -482,6 +484,8 @@ def show(
         ax: Axes | Sequence[Axes] | None = None,
         return_ax: bool = False,
         save: None | str | Path = None,
+        scale: str | None = None,
+        target_unit_to_pixels: float = 0.1,
     ) -> sd.SpatialData:
         """
         Plot the images in the SpatialData object.
@@ -497,6 +501,13 @@ def show(
             Width of each subplot. Default is 4.
         height :
             Height of each subplot. Default is 3.
+        scale :
+            Name of the scale to select from multi-scale images.
+            If None, the multi-scale images are rasterized.
+        target_unit_to_pixels :
+            Factor determining the final resolution during rasterization of multi-scale images.
+            1 corresponds to the maximum possible resolution, the closer the value is to 0, the
+            lower the resolution becomes.
 
         Returns
         -------
@@ -598,23 +609,17 @@ def show(
             elements=elements_to_be_rendered,
         )
 
-        # extent = _get_extent(
-        #     sdata=sdata,
-        #     has_images="render_images" in render_cmds,
-        #     has_labels="render_labels" in render_cmds,
-        #     has_points="render_points" in render_cmds,
-        #     has_shapes="render_shapes" in render_cmds,
-        #     elements=elements_to_be_rendered,
-        #     coordinate_systems=coordinate_systems,
-        # )
-        # Use extent to filter out coordinate system without the relevant elements
-        # valid_cs = []
-        # for cs in coordinate_systems:
-        #     if cs in extent:
-        #         valid_cs.append(cs)
-        #     else:
-        #         logg.info(f"Dropping coordinate system '{cs}' since it doesn't have relevant elements.")
-        # coordinate_systems = valid_cs
+        # check target_unit_to_pixels for problematic values
+        if target_unit_to_pixels > 1:
+            logger.warning(
+                f"target_unit_to_pixels set to 1 since given {target_unit_to_pixels} > 1 which doesn't make sense."
+            )
+            target_unit_to_pixels = 1
+        elif target_unit_to_pixels <= 0:
+            logger.warning(
+                f"target_unit_to_pixels set to 0.1 since given {target_unit_to_pixels} <= 0 which doesn't make sense."
+            )
+            target_unit_to_pixels = 0.1
 
         # set up canvas
         fig_params, scalebar_params = _prepare_params_plot(
@@ -642,6 +647,7 @@ def show(
             sdata = self._copy()
 
             # TODO: adapt this to the new get_extent
+            # we only need the extent of scale0 as input for rasterize (3rd & 4th argument)
             extent = _get_extent(
                 sdata=sdata,
                 has_images="render_images" in render_cmds,
@@ -655,32 +661,51 @@ def show(
             # rasterize MultiscaleSpatialImage objects
             to_rasterize = _get_elements_to_rasterize(sdata, cs, elements_to_be_rendered)
             for el in to_rasterize:
-                # TODO: add option for the user to select a specific scale (or use auto)
-                # TODO: for 3rd and 4th argument, we need the min and max extent of scale0 of the MultiscaleImage
-                # (for y and x axis). I tried with smaller values but then we don't get the full image.
-                # TODO: target_unit_to_pixels argument: determines resolution. I think 1 is original/highest possible
-                # resolution, so values > 1 don't make sense. values < 1 lead to lower resolution. Question: for `auto`
-                # mode, which value is best? probably needs to be determined heuristically. E.g. for
-                # visium_associated_xenium_io: I would choose 0.1
-                rasterized = rasterize(
-                    sdata[el],
-                    ("y", "x"),
-                    [extent[cs][2], extent[cs][0]],
-                    [extent[cs][3], extent[cs][1]],
-                    cs,
-                    target_unit_to_pixels=0.1,
-                )
-                # TODO: print message about which element was rasterized with logger?
+                available_scales = [leaf.name for leaf in sdata[el].leaves]
+                if scale is not None and scale in available_scales:
+                    # user selected a valid scale
+                    if el in sdata.images:
+                        spatial_image = Image2DModel.parse(sdata[el][scale].ds.to_array().squeeze(axis=0))
+                    else:
+                        # multi-scale contains labels
+                        spatial_image = Labels2DModel.parse(sdata[el][scale].ds.to_array().squeeze(axis=0))
+                else:
+                    # multi-scale image should be rasterized
+                    if scale is not None:
+                        logger.warning(f"Scale {scale} doesn't exist for {el}, it is instead rasterized.")
+                    spatial_image = rasterize(
+                        sdata[el],
+                        ("y", "x"),
+                        [extent[cs][2], extent[cs][0]],
+                        [extent[cs][3], extent[cs][1]],
+                        cs,
+                        target_unit_to_pixels=target_unit_to_pixels,
+                    )
+                    logger.info(
+                        f"Multi-scale image {el} was rasterized with target_unit_to_pixels = {target_unit_to_pixels}."
+                    )
+
                 if el in sdata.images:
-                    sdata.images[el] = rasterized
+                    sdata.images[el] = spatial_image
                 elif el in sdata.labels:
-                    sdata.labels[el] = rasterized
+                    sdata.labels[el] = spatial_image
                 else:
                     raise ValueError(
                         f"{el} seems to be a MultiscaleImage but is not in labels or images. "
                         "Rasterization of points or shapes is currently not intended or supported."
                     )
 
+            # TODO: Needed for when e.g. scale="scale2" Adapt to new get_extent...
+            extent = _get_extent(
+                sdata=sdata,
+                has_images="render_images" in render_cmds,
+                has_labels="render_labels" in render_cmds,
+                has_points="render_points" in render_cmds,
+                has_shapes="render_shapes" in render_cmds,
+                elements=elements_to_be_rendered,
+                coordinate_systems=cs,
+            )
+
             # properly transform all elements to the current coordinate system
             members = cs_contents.query(f"cs == '{cs}'")
 
diff --git a/src/spatialdata_plot/pl/render.py b/src/spatialdata_plot/pl/render.py
index b7b4f76d..c10c34e2 100644
--- a/src/spatialdata_plot/pl/render.py
+++ b/src/spatialdata_plot/pl/render.py
@@ -16,7 +16,6 @@
 from pandas.api.types import is_categorical_dtype
 from scanpy._settings import settings as sc_settings
 from spatialdata.models import (
-    Image2DModel,
     Labels2DModel,
 )
 
@@ -270,11 +269,11 @@ def _render_images(
         elements = list(sdata_filt.images.keys())
 
     images = [sdata.images[e] for e in elements]
-    for img, img_key in zip(images, elements):
-        if not isinstance(img, spatial_image.SpatialImage):
-            logger.warning(f"Unrasterized multi-scale image '{img_key}' in _render_images. Using scale0.")
-            img = Image2DModel.parse(img["scale0"].ds.to_array().squeeze(axis=0))
-            # logger.warning(f"Multi-scale images not yet supported, using scale0 of multi-scale image '{img_key}'.")
+    # for img, img_key in zip(images, elements):
+    for img in images:
+        # if not isinstance(img, spatial_image.SpatialImage):
+        #     img = Image2DModel.parse(img["scale0"].ds.to_array().squeeze(axis=0))
+        #     # logger.warning(f"Multi-scale images not yet supported, using scale0 of multi-scale image '{img_key}'.")
 
         if render_params.channel is None:
             channels = img.coords["c"].values
diff --git a/src/spatialdata_plot/pl/utils.py b/src/spatialdata_plot/pl/utils.py
index fbe3ce2a..66699e48 100644
--- a/src/spatialdata_plot/pl/utils.py
+++ b/src/spatialdata_plot/pl/utils.py
@@ -1203,15 +1203,17 @@ def _translate_image(
 
             shifted_channels.append(channel)
 
-    result = Image2DModel.parse(
+    if expanded_dims:
+        return Labels2DModel.parse(
+            np.array(shifted_channels[0]),
+            dims=["y", "x"],
+            transformations=image.attrs["transform"],
+        )
+    return Image2DModel.parse(
         np.array(shifted_channels),
         dims=["c", "y", "x"],
         transformations=image.attrs["transform"],
     )
-    if expanded_dims:
-        # undo the dimension expansion from before
-        result = result[0, :, :]
-    return result
 
 
 def _convert_polygon_to_linestrings(polygon: Polygon) -> list[LineString]:

From 2f6b80d949e3a4c209eb360c4ed932dd49172881 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Wed, 27 Sep 2023 12:44:35 +0200
Subject: [PATCH 04/31] lower scales are plotted in original size

---
 src/spatialdata_plot/pl/basic.py | 17 +++--------------
 1 file changed, 3 insertions(+), 14 deletions(-)

diff --git a/src/spatialdata_plot/pl/basic.py b/src/spatialdata_plot/pl/basic.py
index 848940d8..a15a3e66 100644
--- a/src/spatialdata_plot/pl/basic.py
+++ b/src/spatialdata_plot/pl/basic.py
@@ -647,7 +647,7 @@ def show(
             sdata = self._copy()
 
             # TODO: adapt this to the new get_extent
-            # we only need the extent of scale0 as input for rasterize (3rd & 4th argument)
+            # we need the extent of scale0 as input for rasterize (3rd & 4th argument)
             extent = _get_extent(
                 sdata=sdata,
                 has_images="render_images" in render_cmds,
@@ -665,10 +665,10 @@ def show(
                 if scale is not None and scale in available_scales:
                     # user selected a valid scale
                     if el in sdata.images:
-                        spatial_image = Image2DModel.parse(sdata[el][scale].ds.to_array().squeeze(axis=0))
+                        spatial_image = Image2DModel.parse(sdata[el][scale].image)
                     else:
                         # multi-scale contains labels
-                        spatial_image = Labels2DModel.parse(sdata[el][scale].ds.to_array().squeeze(axis=0))
+                        spatial_image = Labels2DModel.parse(sdata[el][scale].image)
                 else:
                     # multi-scale image should be rasterized
                     if scale is not None:
@@ -695,17 +695,6 @@ def show(
                         "Rasterization of points or shapes is currently not intended or supported."
                     )
 
-            # TODO: Needed for when e.g. scale="scale2" Adapt to new get_extent...
-            extent = _get_extent(
-                sdata=sdata,
-                has_images="render_images" in render_cmds,
-                has_labels="render_labels" in render_cmds,
-                has_points="render_points" in render_cmds,
-                has_shapes="render_shapes" in render_cmds,
-                elements=elements_to_be_rendered,
-                coordinate_systems=cs,
-            )
-
             # properly transform all elements to the current coordinate system
             members = cs_contents.query(f"cs == '{cs}'")
 

From 5abbdba17827d0cf2e6600d3d02b753b30953453 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Mon, 9 Oct 2023 18:31:02 +0200
Subject: [PATCH 05/31] add _multiscale_to_spatial_image to heuristically
 select best scale

---
 src/spatialdata_plot/pl/basic.py |  9 +++++
 src/spatialdata_plot/pl/utils.py | 56 ++++++++++++++++++++++++++++++++
 2 files changed, 65 insertions(+)

diff --git a/src/spatialdata_plot/pl/basic.py b/src/spatialdata_plot/pl/basic.py
index a15a3e66..d7a85010 100644
--- a/src/spatialdata_plot/pl/basic.py
+++ b/src/spatialdata_plot/pl/basic.py
@@ -661,6 +661,15 @@ def show(
             # rasterize MultiscaleSpatialImage objects
             to_rasterize = _get_elements_to_rasterize(sdata, cs, elements_to_be_rendered)
             for el in to_rasterize:
+                # TODO: use instead of rasterization here
+                # _multiscale_to_spatial_image(
+                #     sdata[el],
+                #     fig_params.fig.dpi,
+                #     fig_params.fig.get_size_inches()[0],
+                #     fig_params.fig.get_size_inches()[1],
+                #     el not in sdata.images,
+                # )
+
                 available_scales = [leaf.name for leaf in sdata[el].leaves]
                 if scale is not None and scale in available_scales:
                     # user selected a valid scale
diff --git a/src/spatialdata_plot/pl/utils.py b/src/spatialdata_plot/pl/utils.py
index 66699e48..1f2b7034 100644
--- a/src/spatialdata_plot/pl/utils.py
+++ b/src/spatialdata_plot/pl/utils.py
@@ -49,6 +49,7 @@
 from skimage.morphology import erosion, square
 from skimage.segmentation import find_boundaries
 from skimage.util import map_array
+from spatial_image import SpatialImage
 from spatialdata import transform
 from spatialdata._core.query.relational_query import _locate_value, get_values
 from spatialdata._logging import logger as logging
@@ -1376,6 +1377,7 @@ def _get_valid_cs(
     return valid_cs
 
 
+# TODO: delete
 def _get_elements_to_rasterize(
     sdata: sd.SpatialData,
     coordinate_system: str,
@@ -1395,3 +1397,57 @@ def _get_elements_to_rasterize(
         ):
             to_rasterize.append(e)
     return to_rasterize
+
+
+def _multiscale_to_spatial_image(
+    multiscale_image: MultiscaleSpatialImage,
+    dpi: float,
+    width: float,
+    height: float,
+    is_label: bool = False,
+) -> SpatialImage:
+    """Extract the SpatialImage to be rendered from a multiscale image.
+
+    From the `MultiscaleSpatialImage`, the scale that fits the given image size and dpi most is selected
+    and returned. In case the lowest resolution is still too high, a rasterization step is added.
+
+    Parameters
+    ----------
+    multiscale_image
+        `MultiscaleSpatialImage` that should be rendered
+    dpi
+        dpi of the target image
+    width
+        width of the target image in inches
+    height
+        height of the target image in inches
+    is_label
+        When True, the multiscale image contains labels which don't contain the `c` dimension
+
+    Returns
+    -------
+    SpatialImage
+        To be rendered, extracted from the MultiscaleSpatialImage respecting the dpi and size of the target image.
+    """
+    scales = [leaf.name for leaf in multiscale_image.leaves]
+    x_dims = [multiscale_image[scale].dims["x"] for scale in scales]
+    y_dims = [multiscale_image[scale].dims["y"] for scale in scales]
+
+    optimal_x = width * dpi
+    optimal_y = height * dpi
+
+    # get scale where the dimensions are closest to the optimal values. When x and y disagree: take lower resolution
+    # optimal_index_x = min([abs(x_dims[i] - optimal_x) for i in range(len(x_dims))])
+    optimal_index_x = min(range(len(x_dims)), key=lambda i: abs(x_dims[i] - optimal_x))
+    # optimal_index_y = min([abs(x_dims[i] - optimal_y) for i in range(len(y_dims))])
+    optimal_index_y = min(range(len(y_dims)), key=lambda i: abs(y_dims[i] - optimal_y))
+    # TODO: threshold 300 okay?
+    if x_dims[optimal_index_x] - optimal_x > 300 or y_dims[optimal_index_y] - optimal_y > 300:
+        # TODO: add rasterization step
+        pass
+    # TODO: disagreeing x and y behavior okay?
+    optimal_scale = scales[min(optimal_index_x, optimal_index_y)]
+
+    if is_label:
+        return Labels2DModel.parse(multiscale_image[optimal_scale].ds.to_array().squeeze(axis=0))
+    return Image2DModel.parse(multiscale_image[optimal_scale].ds.to_array().squeeze(axis=0))

From be43b1befe6056cf1b5c34f773bb200a4d1c2e44 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Tue, 10 Oct 2023 15:08:31 +0200
Subject: [PATCH 06/31] add _rasterize_if_necessary function and including it
 into show. Not working yet!

---
 src/spatialdata_plot/pl/basic.py         | 145 ++++++++++-------------
 src/spatialdata_plot/pl/render.py        |  51 ++++++--
 src/spatialdata_plot/pl/render_params.py |   2 +
 src/spatialdata_plot/pl/utils.py         |  90 +++++++++++---
 4 files changed, 176 insertions(+), 112 deletions(-)

diff --git a/src/spatialdata_plot/pl/basic.py b/src/spatialdata_plot/pl/basic.py
index d7a85010..520afb3a 100644
--- a/src/spatialdata_plot/pl/basic.py
+++ b/src/spatialdata_plot/pl/basic.py
@@ -19,11 +19,8 @@
 from multiscale_spatial_image.multiscale_spatial_image import MultiscaleSpatialImage
 from pandas.api.types import is_categorical_dtype
 from spatial_image import SpatialImage
-from spatialdata._core.operations.rasterize import rasterize
-from spatialdata.models import Image2DModel, Labels2DModel
 
 from spatialdata_plot._accessor import register_spatial_data_accessor
-from spatialdata_plot._logging import logger
 from spatialdata_plot.pl.render import (
     _render_images,
     _render_labels,
@@ -42,7 +39,6 @@
 )
 from spatialdata_plot.pl.utils import (
     _get_cs_contents,
-    _get_elements_to_rasterize,
     _get_extent,
     _get_valid_cs,
     _maybe_set_colors,
@@ -310,6 +306,7 @@ def render_images(
         palette: ListedColormap | str | None = None,
         alpha: float = 1.0,
         quantiles_for_norm: tuple[float | None, float | None] = (None, None),
+        scale: str | None = None,
         **kwargs: Any,
     ) -> sd.SpatialData:
         """
@@ -332,6 +329,8 @@ def render_images(
             Alpha value for the shapes.
         quantiles_for_norm
             Tuple of (pmin, pmax) which will be used for quantile normalization.
+        scale
+            Specific scale out of multiscale images to be plotted. If None, a scale is chosen heuristically
         kwargs
             Additional arguments to be passed to cmap and norm.
 
@@ -373,6 +372,7 @@ def render_images(
             palette=palette,
             alpha=alpha,
             quantiles_for_norm=quantiles_for_norm,
+            scale=scale,
         )
 
         return sdata
@@ -391,6 +391,7 @@ def render_labels(
         na_color: str | tuple[float, ...] | None = (0.0, 0.0, 0.0, 0.0),
         outline_alpha: float = 1.0,
         fill_alpha: float = 0.3,
+        scale: str | None = None,
         **kwargs: Any,
     ) -> sd.SpatialData:
         """
@@ -423,6 +424,8 @@ def render_labels(
             Color to be used for NAs values, if present.
         alpha
             Alpha value for the labels.
+        scale
+            Specific scale out of multiscale labels to be plotted. If None, a scale is chosen heuristically
         kwargs
             Additional arguments to be passed to cmap and norm.
 
@@ -458,6 +461,7 @@ def render_labels(
             outline_alpha=outline_alpha,
             fill_alpha=fill_alpha,
             transfunc=kwargs.get("transfunc", None),
+            scale=scale,
         )
 
         return sdata
@@ -484,8 +488,6 @@ def show(
         ax: Axes | Sequence[Axes] | None = None,
         return_ax: bool = False,
         save: None | str | Path = None,
-        scale: str | None = None,
-        target_unit_to_pixels: float = 0.1,
     ) -> sd.SpatialData:
         """
         Plot the images in the SpatialData object.
@@ -501,13 +503,6 @@ def show(
             Width of each subplot. Default is 4.
         height :
             Height of each subplot. Default is 3.
-        scale :
-            Name of the scale to select from multi-scale images.
-            If None, the multi-scale images are rasterized.
-        target_unit_to_pixels :
-            Factor determining the final resolution during rasterization of multi-scale images.
-            1 corresponds to the maximum possible resolution, the closer the value is to 0, the
-            lower the resolution becomes.
 
         Returns
         -------
@@ -609,18 +604,6 @@ def show(
             elements=elements_to_be_rendered,
         )
 
-        # check target_unit_to_pixels for problematic values
-        if target_unit_to_pixels > 1:
-            logger.warning(
-                f"target_unit_to_pixels set to 1 since given {target_unit_to_pixels} > 1 which doesn't make sense."
-            )
-            target_unit_to_pixels = 1
-        elif target_unit_to_pixels <= 0:
-            logger.warning(
-                f"target_unit_to_pixels set to 0.1 since given {target_unit_to_pixels} <= 0 which doesn't make sense."
-            )
-            target_unit_to_pixels = 0.1
-
         # set up canvas
         fig_params, scalebar_params = _prepare_params_plot(
             num_panels=len(coordinate_systems),
@@ -646,63 +629,51 @@ def show(
         for i, cs in enumerate(coordinate_systems):
             sdata = self._copy()
 
-            # TODO: adapt this to the new get_extent
-            # we need the extent of scale0 as input for rasterize (3rd & 4th argument)
-            extent = _get_extent(
-                sdata=sdata,
-                has_images="render_images" in render_cmds,
-                has_labels="render_labels" in render_cmds,
-                has_points="render_points" in render_cmds,
-                has_shapes="render_shapes" in render_cmds,
-                elements=elements_to_be_rendered,
-                coordinate_systems=cs,
-            )
-
-            # rasterize MultiscaleSpatialImage objects
-            to_rasterize = _get_elements_to_rasterize(sdata, cs, elements_to_be_rendered)
-            for el in to_rasterize:
-                # TODO: use instead of rasterization here
-                # _multiscale_to_spatial_image(
-                #     sdata[el],
-                #     fig_params.fig.dpi,
-                #     fig_params.fig.get_size_inches()[0],
-                #     fig_params.fig.get_size_inches()[1],
-                #     el not in sdata.images,
-                # )
-
-                available_scales = [leaf.name for leaf in sdata[el].leaves]
-                if scale is not None and scale in available_scales:
-                    # user selected a valid scale
-                    if el in sdata.images:
-                        spatial_image = Image2DModel.parse(sdata[el][scale].image)
-                    else:
-                        # multi-scale contains labels
-                        spatial_image = Labels2DModel.parse(sdata[el][scale].image)
-                else:
-                    # multi-scale image should be rasterized
-                    if scale is not None:
-                        logger.warning(f"Scale {scale} doesn't exist for {el}, it is instead rasterized.")
-                    spatial_image = rasterize(
-                        sdata[el],
-                        ("y", "x"),
-                        [extent[cs][2], extent[cs][0]],
-                        [extent[cs][3], extent[cs][1]],
-                        cs,
-                        target_unit_to_pixels=target_unit_to_pixels,
-                    )
-                    logger.info(
-                        f"Multi-scale image {el} was rasterized with target_unit_to_pixels = {target_unit_to_pixels}."
-                    )
-
-                if el in sdata.images:
-                    sdata.images[el] = spatial_image
-                elif el in sdata.labels:
-                    sdata.labels[el] = spatial_image
-                else:
-                    raise ValueError(
-                        f"{el} seems to be a MultiscaleImage but is not in labels or images. "
-                        "Rasterization of points or shapes is currently not intended or supported."
-                    )
+            # # rasterize MultiscaleSpatialImage objects
+            # to_rasterize = _get_elements_to_rasterize(sdata, cs, elements_to_be_rendered)
+            # for el in to_rasterize:
+            #     # TODO: use instead of rasterization here
+            #     # _multiscale_to_spatial_image(
+            #     #     sdata[el],
+            #     #     fig_params.fig.dpi,
+            #     #     fig_params.fig.get_size_inches()[0],
+            #     #     fig_params.fig.get_size_inches()[1],
+            #     #     el not in sdata.images,
+            #     # )
+
+            #     available_scales = [leaf.name for leaf in sdata[el].leaves]
+            #     if scale is not None and scale in available_scales:
+            #         # user selected a valid scale
+            #         if el in sdata.images:
+            #             spatial_image = Image2DModel.parse(sdata[el][scale].image)
+            #         else:
+            #             # multi-scale contains labels
+            #             spatial_image = Labels2DModel.parse(sdata[el][scale].image)
+            #     else:
+            #         # multi-scale image should be rasterized
+            #         if scale is not None:
+            #             logger.warning(f"Scale {scale} doesn't exist for {el}, it is instead rasterized.")
+            #         spatial_image = rasterize(
+            #             sdata[el],
+            #             ("y", "x"),
+            #             [extent[cs][2], extent[cs][0]],
+            #             [extent[cs][3], extent[cs][1]],
+            #             cs,
+            #             target_unit_to_pixels=target_unit_to_pixels,
+            #         )
+            #         logger.info(
+            #             f"Multi-scale image {el} was rasterized with target_unit_to_pixels = {target_unit_to_pixels}."
+            #         )
+
+            #     if el in sdata.images:
+            #         sdata.images[el] = spatial_image
+            #     elif el in sdata.labels:
+            #         sdata.labels[el] = spatial_image
+            #     else:
+            #         raise ValueError(
+            #             f"{el} seems to be a MultiscaleImage but is not in labels or images. "
+            #             "Rasterization of points or shapes is currently not intended or supported."
+            #         )
 
             # properly transform all elements to the current coordinate system
             members = cs_contents.query(f"cs == '{cs}'")
@@ -799,6 +770,16 @@ def show(
                     cs_contents.query(f"cs == '{cs}'")["has_shapes"][0],
                 ]
             ):
+                # TODO: adapt this to the new get_extent
+                extent = _get_extent(
+                    sdata=sdata,
+                    has_images="render_images" in render_cmds,
+                    has_labels="render_labels" in render_cmds,
+                    has_points="render_points" in render_cmds,
+                    has_shapes="render_shapes" in render_cmds,
+                    elements=elements_to_be_rendered,
+                    coordinate_systems=cs,
+                )
                 # If the axis already has limits, only expand them but not overwrite
                 x_min = min(x_min_orig, extent[cs][0]) - pad_extent
                 x_max = max(x_max_orig, extent[cs][1]) + pad_extent
diff --git a/src/spatialdata_plot/pl/render.py b/src/spatialdata_plot/pl/render.py
index c10c34e2..0ed5896e 100644
--- a/src/spatialdata_plot/pl/render.py
+++ b/src/spatialdata_plot/pl/render.py
@@ -9,15 +9,12 @@
 import numpy as np
 import pandas as pd
 import scanpy as sc
-import spatial_image
 import spatialdata as sd
 from anndata import AnnData
 from matplotlib.colors import ListedColormap, Normalize
+from multiscale_spatial_image.multiscale_spatial_image import MultiscaleSpatialImage
 from pandas.api.types import is_categorical_dtype
 from scanpy._settings import settings as sc_settings
-from spatialdata.models import (
-    Labels2DModel,
-)
 
 from spatialdata_plot._logging import logger
 from spatialdata_plot.pl.render_params import (
@@ -36,7 +33,9 @@
     _get_linear_colormap,
     _map_color_seg,
     _maybe_set_colors,
+    _multiscale_to_spatial_image,
     _normalize,
+    _rasterize_if_necessary,
     _set_color_source_vec,
     to_hex,
 )
@@ -269,11 +268,24 @@ def _render_images(
         elements = list(sdata_filt.images.keys())
 
     images = [sdata.images[e] for e in elements]
-    # for img, img_key in zip(images, elements):
     for img in images:
-        # if not isinstance(img, spatial_image.SpatialImage):
-        #     img = Image2DModel.parse(img["scale0"].ds.to_array().squeeze(axis=0))
-        #     # logger.warning(f"Multi-scale images not yet supported, using scale0 of multi-scale image '{img_key}'.")
+        # get best scale out of multiscale image
+        if isinstance(img, MultiscaleSpatialImage):
+            img = _multiscale_to_spatial_image(
+                multiscale_image=img,
+                dpi=fig_params.fig.dpi,
+                width=fig_params.fig.get_size_inches()[0],
+                height=fig_params.fig.get_size_inches()[1],
+                scale=render_params.scale,
+            )
+        # rasterize spatial image if necessary to speed up performance
+        img = _rasterize_if_necessary(
+            image=img,
+            dpi=fig_params.fig.dpi,
+            width=fig_params.fig.get_size_inches()[0],
+            height=fig_params.fig.get_size_inches()[1],
+            coordinate_system=coordinate_system,
+        )
 
         if render_params.channel is None:
             channels = img.coords["c"].values
@@ -428,9 +440,24 @@ def _render_labels(
     labels = [sdata.labels[e] for e in elements]
 
     for label, label_key in zip(labels, elements):
-        if not isinstance(label, spatial_image.SpatialImage):
-            label = Labels2DModel.parse(label["scale0"].ds.to_array().squeeze(axis=0))
-            logger.warning(f"Multi-scale labels not yet supported, using scale0 of multi-scale label '{label_key}'.")
+        # get best scale out of multiscale label
+        if isinstance(label, MultiscaleSpatialImage):
+            label = _multiscale_to_spatial_image(
+                multiscale_image=label,
+                dpi=fig_params.fig.dpi,
+                width=fig_params.fig.get_size_inches()[0],
+                height=fig_params.fig.get_size_inches()[1],
+                scale=render_params.scale,
+            )
+        # rasterize spatial image if necessary to speed up performance
+        # TODO: skip this when isinstance(render_params.scale, str)???
+        label = _rasterize_if_necessary(
+            image=label,
+            dpi=fig_params.fig.dpi,
+            width=fig_params.fig.get_size_inches()[0],
+            height=fig_params.fig.get_size_inches()[1],
+            coordinate_system=coordinate_system,
+        )
 
         if sdata.table is None:
             instance_id = np.unique(label)
@@ -441,7 +468,7 @@ def _render_labels(
 
             table = sdata.table[sdata.table.obs[region_key].isin([label_key])]
 
-            # get isntance id based on subsetted table
+            # get instance id based on subsetted table
             instance_id = table.obs[instance_key].values
 
         # get color vector (categorical or continuous)
diff --git a/src/spatialdata_plot/pl/render_params.py b/src/spatialdata_plot/pl/render_params.py
index 9294dc2d..6be72a7e 100644
--- a/src/spatialdata_plot/pl/render_params.py
+++ b/src/spatialdata_plot/pl/render_params.py
@@ -105,6 +105,7 @@ class ImageRenderParams:
     palette: ListedColormap | str | None = None
     alpha: float = 1.0
     quantiles_for_norm: tuple[float | None, float | None] = (None, None)
+    scale: str | None = None
 
 
 @dataclass
@@ -122,3 +123,4 @@ class LabelsRenderParams:
     outline_alpha: float = 1.0
     fill_alpha: float = 0.4
     transfunc: Callable[[float], float] | None = None
+    scale: str | None = None
diff --git a/src/spatialdata_plot/pl/utils.py b/src/spatialdata_plot/pl/utils.py
index 1f2b7034..552c4a73 100644
--- a/src/spatialdata_plot/pl/utils.py
+++ b/src/spatialdata_plot/pl/utils.py
@@ -51,6 +51,7 @@
 from skimage.util import map_array
 from spatial_image import SpatialImage
 from spatialdata import transform
+from spatialdata._core.operations.rasterize import rasterize
 from spatialdata._core.query.relational_query import _locate_value, get_values
 from spatialdata._logging import logger as logging
 from spatialdata._types import ArrayLike
@@ -1377,7 +1378,7 @@ def _get_valid_cs(
     return valid_cs
 
 
-# TODO: delete
+# TODO: delete?
 def _get_elements_to_rasterize(
     sdata: sd.SpatialData,
     coordinate_system: str,
@@ -1399,11 +1400,61 @@ def _get_elements_to_rasterize(
     return to_rasterize
 
 
+def _rasterize_if_necessary(
+    image: SpatialImage, dpi: float, width: float, height: float, coordinate_system: str
+) -> SpatialImage:
+    """Ensure fast rendering by adapting the resolution if necessary.
+
+    A SpatialImage is prepared for plotting. To improve performance, large images are rasterized.
+
+    Parameters
+    ----------
+    image
+        Input spatial image that should be rendered
+    dpi
+        Resolution of the figure
+    width
+        Width (in inches) of the figure
+    height
+        Height (in inches) of the figure
+    coordinate_system
+        name of the coordinate system the image belongs to
+
+    Returns
+    -------
+    SpatialImage
+        Spatial image ready for rendering
+    """
+    has_c_dim = len(image.shape) == 3
+    if has_c_dim:
+        y_dims = image.shape[1]
+        x_dims = image.shape[2]
+    else:
+        y_dims = image.shape[0]
+        x_dims = image.shape[1]
+
+    target_y_dims = dpi * height
+    target_x_dims = dpi * width
+
+    # TODO: when do we want to rasterize?
+    do_rasterization = y_dims > target_y_dims or x_dims > target_x_dims
+
+    if do_rasterization:
+        # TODO: do we want min here?
+        target_unit_to_pixels = min(width / x_dims, height / y_dims)
+        image = rasterize(
+            image, ("y", "x"), [0, 0], [y_dims, x_dims], coordinate_system, target_unit_to_pixels=target_unit_to_pixels
+        )
+
+    return image
+
+
 def _multiscale_to_spatial_image(
     multiscale_image: MultiscaleSpatialImage,
     dpi: float,
     width: float,
     height: float,
+    scale: str | None = None,
     is_label: bool = False,
 ) -> SpatialImage:
     """Extract the SpatialImage to be rendered from a multiscale image.
@@ -1421,6 +1472,8 @@ def _multiscale_to_spatial_image(
         width of the target image in inches
     height
         height of the target image in inches
+    scale
+        specific scale that the user chose, if None the heuristic is used
     is_label
         When True, the multiscale image contains labels which don't contain the `c` dimension
 
@@ -1430,23 +1483,24 @@ def _multiscale_to_spatial_image(
         To be rendered, extracted from the MultiscaleSpatialImage respecting the dpi and size of the target image.
     """
     scales = [leaf.name for leaf in multiscale_image.leaves]
-    x_dims = [multiscale_image[scale].dims["x"] for scale in scales]
-    y_dims = [multiscale_image[scale].dims["y"] for scale in scales]
-
-    optimal_x = width * dpi
-    optimal_y = height * dpi
-
-    # get scale where the dimensions are closest to the optimal values. When x and y disagree: take lower resolution
-    # optimal_index_x = min([abs(x_dims[i] - optimal_x) for i in range(len(x_dims))])
-    optimal_index_x = min(range(len(x_dims)), key=lambda i: abs(x_dims[i] - optimal_x))
-    # optimal_index_y = min([abs(x_dims[i] - optimal_y) for i in range(len(y_dims))])
-    optimal_index_y = min(range(len(y_dims)), key=lambda i: abs(y_dims[i] - optimal_y))
-    # TODO: threshold 300 okay?
-    if x_dims[optimal_index_x] - optimal_x > 300 or y_dims[optimal_index_y] - optimal_y > 300:
-        # TODO: add rasterization step
-        pass
-    # TODO: disagreeing x and y behavior okay?
-    optimal_scale = scales[min(optimal_index_x, optimal_index_y)]
+
+    if isinstance(scale, str):
+        if scale not in scales:
+            raise ValueError(f"Scale {scale} does not exist. Please select one of {scales}!")
+        optimal_scale = scale
+    else:
+        x_dims = [multiscale_image[scale].dims["x"] for scale in scales]
+        y_dims = [multiscale_image[scale].dims["y"] for scale in scales]
+
+        optimal_x = width * dpi
+        optimal_y = height * dpi
+
+        # get scale where the dimensions are closest to the optimal values. When x and y disagree: take lower resolution
+        optimal_index_x = min(range(len(x_dims)), key=lambda i: abs(x_dims[i] - optimal_x))
+        optimal_index_y = min(range(len(y_dims)), key=lambda i: abs(y_dims[i] - optimal_y))
+
+        # TODO: disagreeing x and y behavior okay? min or max? Maybe pick middle?
+        optimal_scale = scales[max(optimal_index_x, optimal_index_y)]
 
     if is_label:
         return Labels2DModel.parse(multiscale_image[optimal_scale].ds.to_array().squeeze(axis=0))

From d2825fc310f6e2ffafecdc01d5f77831062ebd1e Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Wed, 11 Oct 2023 10:03:21 +0200
Subject: [PATCH 07/31] use new get_extent from spatialdata

---
 src/spatialdata_plot/pl/basic.py  | 18 ++++++++----------
 src/spatialdata_plot/pl/render.py |  1 +
 2 files changed, 9 insertions(+), 10 deletions(-)

diff --git a/src/spatialdata_plot/pl/basic.py b/src/spatialdata_plot/pl/basic.py
index 28b5c7ec..d51c02d2 100644
--- a/src/spatialdata_plot/pl/basic.py
+++ b/src/spatialdata_plot/pl/basic.py
@@ -19,6 +19,7 @@
 from multiscale_spatial_image.multiscale_spatial_image import MultiscaleSpatialImage
 from pandas.api.types import is_categorical_dtype
 from spatial_image import SpatialImage
+from spatialdata._core.data_extent import get_extent
 
 from spatialdata_plot._accessor import register_spatial_data_accessor
 from spatialdata_plot.pl.render import (
@@ -39,7 +40,6 @@
 )
 from spatialdata_plot.pl.utils import (
     _get_cs_contents,
-    _get_extent,
     _get_valid_cs,
     _maybe_set_colors,
     _mpl_ax_contains_elements,
@@ -640,7 +640,6 @@ def show(
             # # rasterize MultiscaleSpatialImage objects
             # to_rasterize = _get_elements_to_rasterize(sdata, cs, elements_to_be_rendered)
             # for el in to_rasterize:
-            #     # TODO: use instead of rasterization here
             #     # _multiscale_to_spatial_image(
             #     #     sdata[el],
             #     #     fig_params.fig.dpi,
@@ -778,21 +777,20 @@ def show(
                     cs_contents.query(f"cs == '{cs}'")["has_shapes"][0],
                 ]
             ):
-                # TODO: adapt this to the new get_extent
-                extent = _get_extent(
-                    sdata=sdata,
+                extent = get_extent(
+                    sdata,
+                    coordinate_system=cs,
                     has_images="render_images" in render_cmds,
                     has_labels="render_labels" in render_cmds,
                     has_points="render_points" in render_cmds,
                     has_shapes="render_shapes" in render_cmds,
                     elements=elements_to_be_rendered,
-                    coordinate_systems=cs,
                 )
                 # If the axis already has limits, only expand them but not overwrite
-                x_min = min(x_min_orig, extent[cs][0]) - pad_extent
-                x_max = max(x_max_orig, extent[cs][1]) + pad_extent
-                y_min = min(y_min_orig, extent[cs][2]) - pad_extent
-                y_max = max(y_max_orig, extent[cs][3]) + pad_extent
+                x_min = min(x_min_orig, extent["x"][0]) - pad_extent
+                x_max = max(x_max_orig, extent["x"][1]) + pad_extent
+                y_min = min(y_min_orig, extent["y"][0]) - pad_extent
+                y_max = max(y_max_orig, extent["y"][1]) + pad_extent
                 ax.set_xlim(x_min, x_max)
                 ax.set_ylim(y_max, y_min)  # (0, 0) is top-left
 
diff --git a/src/spatialdata_plot/pl/render.py b/src/spatialdata_plot/pl/render.py
index bc2fe1b2..3679df6b 100644
--- a/src/spatialdata_plot/pl/render.py
+++ b/src/spatialdata_plot/pl/render.py
@@ -16,6 +16,7 @@
 from multiscale_spatial_image.multiscale_spatial_image import MultiscaleSpatialImage
 from pandas.api.types import is_categorical_dtype
 from scanpy._settings import settings as sc_settings
+from spatialdata.models import PointsModel
 
 from spatialdata_plot._logging import logger
 from spatialdata_plot.pl.render_params import (

From ab0c23ca6b3c6ae3f5dca2d65003a8ba92e64d52 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Wed, 11 Oct 2023 15:39:48 +0200
Subject: [PATCH 08/31] add scaling logic, not final

---
 src/spatialdata_plot/pl/basic.py  | 48 ++-----------------------------
 src/spatialdata_plot/pl/render.py | 37 ++++++++++++++----------
 src/spatialdata_plot/pl/utils.py  | 41 ++++++++++++++++++--------
 3 files changed, 54 insertions(+), 72 deletions(-)

diff --git a/src/spatialdata_plot/pl/basic.py b/src/spatialdata_plot/pl/basic.py
index d51c02d2..0c888ab7 100644
--- a/src/spatialdata_plot/pl/basic.py
+++ b/src/spatialdata_plot/pl/basic.py
@@ -637,51 +637,6 @@ def show(
         for i, cs in enumerate(coordinate_systems):
             sdata = self._copy()
 
-            # # rasterize MultiscaleSpatialImage objects
-            # to_rasterize = _get_elements_to_rasterize(sdata, cs, elements_to_be_rendered)
-            # for el in to_rasterize:
-            #     # _multiscale_to_spatial_image(
-            #     #     sdata[el],
-            #     #     fig_params.fig.dpi,
-            #     #     fig_params.fig.get_size_inches()[0],
-            #     #     fig_params.fig.get_size_inches()[1],
-            #     #     el not in sdata.images,
-            #     # )
-
-            #     available_scales = [leaf.name for leaf in sdata[el].leaves]
-            #     if scale is not None and scale in available_scales:
-            #         # user selected a valid scale
-            #         if el in sdata.images:
-            #             spatial_image = Image2DModel.parse(sdata[el][scale].image)
-            #         else:
-            #             # multi-scale contains labels
-            #             spatial_image = Labels2DModel.parse(sdata[el][scale].image)
-            #     else:
-            #         # multi-scale image should be rasterized
-            #         if scale is not None:
-            #             logger.warning(f"Scale {scale} doesn't exist for {el}, it is instead rasterized.")
-            #         spatial_image = rasterize(
-            #             sdata[el],
-            #             ("y", "x"),
-            #             [extent[cs][2], extent[cs][0]],
-            #             [extent[cs][3], extent[cs][1]],
-            #             cs,
-            #             target_unit_to_pixels=target_unit_to_pixels,
-            #         )
-            #         logger.info(
-            #             f"Multi-scale image {el} was rasterized with target_unit_to_pixels = {target_unit_to_pixels}."
-            #         )
-
-            #     if el in sdata.images:
-            #         sdata.images[el] = spatial_image
-            #     elif el in sdata.labels:
-            #         sdata.labels[el] = spatial_image
-            #     else:
-            #         raise ValueError(
-            #             f"{el} seems to be a MultiscaleImage but is not in labels or images. "
-            #             "Rasterization of points or shapes is currently not intended or supported."
-            #         )
-
             # properly transform all elements to the current coordinate system
             members = cs_contents.query(f"cs == '{cs}'")
 
@@ -713,6 +668,8 @@ def show(
                         fig_params=fig_params,
                         scalebar_params=scalebar_params,
                         legend_params=legend_params,
+                        # TODO: this is wrong somehow
+                        do_rasterization=not (isinstance(params.scale, str) and dpi is not None),
                     )
                 elif cmd == "render_shapes" and cs_contents.query(f"cs == '{cs}'")["has_shapes"][0]:
                     _render_shapes(
@@ -754,6 +711,7 @@ def show(
                         fig_params=fig_params,
                         scalebar_params=scalebar_params,
                         legend_params=legend_params,
+                        do_rasterization=not (isinstance(params.scale, str) and dpi is not None),
                     )
 
                 if title is not None:
diff --git a/src/spatialdata_plot/pl/render.py b/src/spatialdata_plot/pl/render.py
index 3679df6b..b8aec075 100644
--- a/src/spatialdata_plot/pl/render.py
+++ b/src/spatialdata_plot/pl/render.py
@@ -295,6 +295,7 @@ def _render_images(
     fig_params: FigParams,
     scalebar_params: ScalebarParams,
     legend_params: LegendParams,
+    do_rasterization: bool,
 ) -> None:
     elements = render_params.elements
 
@@ -310,6 +311,7 @@ def _render_images(
         elements = list(sdata_filt.images.keys())
 
     images = [sdata.images[e] for e in elements]
+
     for img in images:
         # get best scale out of multiscale image
         if isinstance(img, MultiscaleSpatialImage):
@@ -318,16 +320,18 @@ def _render_images(
                 dpi=fig_params.fig.dpi,
                 width=fig_params.fig.get_size_inches()[0],
                 height=fig_params.fig.get_size_inches()[1],
+                coordinate_system=coordinate_system,
                 scale=render_params.scale,
             )
         # rasterize spatial image if necessary to speed up performance
-        img = _rasterize_if_necessary(
-            image=img,
-            dpi=fig_params.fig.dpi,
-            width=fig_params.fig.get_size_inches()[0],
-            height=fig_params.fig.get_size_inches()[1],
-            coordinate_system=coordinate_system,
-        )
+        if do_rasterization:
+            img = _rasterize_if_necessary(
+                image=img,
+                dpi=fig_params.fig.dpi,
+                width=fig_params.fig.get_size_inches()[0],
+                height=fig_params.fig.get_size_inches()[1],
+                coordinate_system=coordinate_system,
+            )
 
         if render_params.channel is None:
             channels = img.coords["c"].values
@@ -466,6 +470,7 @@ def _render_labels(
     fig_params: FigParams,
     scalebar_params: ScalebarParams,
     legend_params: LegendParams,
+    do_rasterization: bool,
 ) -> None:
     elements = render_params.elements
 
@@ -495,17 +500,19 @@ def _render_labels(
                 dpi=fig_params.fig.dpi,
                 width=fig_params.fig.get_size_inches()[0],
                 height=fig_params.fig.get_size_inches()[1],
+                coordinate_system=coordinate_system,
                 scale=render_params.scale,
+                is_label=True,
             )
         # rasterize spatial image if necessary to speed up performance
-        # TODO: skip this when isinstance(render_params.scale, str)???
-        label = _rasterize_if_necessary(
-            image=label,
-            dpi=fig_params.fig.dpi,
-            width=fig_params.fig.get_size_inches()[0],
-            height=fig_params.fig.get_size_inches()[1],
-            coordinate_system=coordinate_system,
-        )
+        if do_rasterization:
+            label = _rasterize_if_necessary(
+                image=label,
+                dpi=fig_params.fig.dpi,
+                width=fig_params.fig.get_size_inches()[0],
+                height=fig_params.fig.get_size_inches()[1],
+                coordinate_system=coordinate_system,
+            )
 
         if sdata.table is None:
             instance_id = np.unique(label)
diff --git a/src/spatialdata_plot/pl/utils.py b/src/spatialdata_plot/pl/utils.py
index 3b41ae63..fc217181 100644
--- a/src/spatialdata_plot/pl/utils.py
+++ b/src/spatialdata_plot/pl/utils.py
@@ -56,7 +56,7 @@
 from spatialdata._logging import logger as logging
 from spatialdata._types import ArrayLike
 from spatialdata.models import Image2DModel, Labels2DModel, SpatialElement
-from spatialdata.transformations import get_transformation
+from spatialdata.transformations import Identity, Scale, get_transformation
 
 from spatialdata_plot.pl.render_params import (
     CmapParams,
@@ -354,9 +354,7 @@ def _get_extent_after_transformations(element: Any, cs_name: str) -> Sequence[in
             transformations = get_transformation(tmp, to_coordinate_system=cs_name)
             transformations = _flatten_transformation_sequence(transformations)
 
-            if len(transformations) == 1 and isinstance(
-                transformations[0], sd.transformations.transformations.Identity
-            ):
+            if len(transformations) == 1 and isinstance(transformations[0], sd.transformations.transformations.Identity):
                 result = (0, tmp.shape[x_idx], 0, tmp.shape[y_idx])
 
             else:
@@ -1456,14 +1454,18 @@ def _rasterize_if_necessary(
     target_x_dims = dpi * width
 
     # TODO: when do we want to rasterize?
-    do_rasterization = y_dims > target_y_dims or x_dims > target_x_dims
+    do_rasterization = y_dims > target_y_dims + 100 or x_dims > target_x_dims + 100
+    if x_dims < 2000 and y_dims < 2000:
+        do_rasterization = False
 
     if do_rasterization:
         # TODO: do we want min here?
-        target_unit_to_pixels = min(width / x_dims, height / y_dims)
+        target_unit_to_pixels = min(target_y_dims / y_dims, target_x_dims / x_dims)
         image = rasterize(
             image, ("y", "x"), [0, 0], [y_dims, x_dims], coordinate_system, target_unit_to_pixels=target_unit_to_pixels
         )
+        image = _robust_transform(image, coordinate_system)
+        logging.info(f"Rasterization (target_unit_to_pixels = {target_unit_to_pixels}) to improve performance.")
 
     return image
 
@@ -1473,6 +1475,7 @@ def _multiscale_to_spatial_image(
     dpi: float,
     width: float,
     height: float,
+    coordinate_system: str,
     scale: str | None = None,
     is_label: bool = False,
 ) -> SpatialImage:
@@ -1491,6 +1494,8 @@ def _multiscale_to_spatial_image(
         width of the target image in inches
     height
         height of the target image in inches
+    coordinate_system
+        name of the coordinate system the image belongs to
     scale
         specific scale that the user chose, if None the heuristic is used
     is_label
@@ -1514,13 +1519,25 @@ def _multiscale_to_spatial_image(
         optimal_x = width * dpi
         optimal_y = height * dpi
 
-        # get scale where the dimensions are closest to the optimal values. When x and y disagree: take lower resolution
+        # get scale where the dimensions are closest to the optimal values
+        # TODO: when in between, always pick higher resolution (downscaled afterwards)
         optimal_index_x = min(range(len(x_dims)), key=lambda i: abs(x_dims[i] - optimal_x))
         optimal_index_y = min(range(len(y_dims)), key=lambda i: abs(y_dims[i] - optimal_y))
 
-        # TODO: disagreeing x and y behavior okay? min or max? Maybe pick middle?
-        optimal_scale = scales[max(optimal_index_x, optimal_index_y)]
+        # pick the scale with higher resolution. Will still be downscaled
+        optimal_scale = scales[min(optimal_index_x, optimal_index_y)]
 
-    if is_label:
-        return Labels2DModel.parse(multiscale_image[optimal_scale].ds.to_array().squeeze(axis=0))
-    return Image2DModel.parse(multiscale_image[optimal_scale].ds.to_array().squeeze(axis=0))
+    image = multiscale_image[optimal_scale].ds.to_array().squeeze(axis=0)
+    image = Labels2DModel.parse(image) if is_label else Image2DModel.parse(image)
+
+    # Bring image to the original scale again
+    y_scale = multiscale_image[optimal_scale]["y"].values[1] - multiscale_image[optimal_scale]["y"].values[0]
+    x_scale = multiscale_image[optimal_scale]["x"].values[1] - multiscale_image[optimal_scale]["x"].values[0]
+
+    image.transform[coordinate_system] = sd.transformations.Sequence(
+        [
+            Scale([y_scale, x_scale], ("y", "x")),
+            Identity(),
+        ]
+    )
+    return _robust_transform(image, coordinate_system)

From e7ec969c71f54c478d2dc1dc957c7ba67b3494d5 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Wed, 11 Oct 2023 13:41:08 +0000
Subject: [PATCH 09/31] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 src/spatialdata_plot/pl/utils.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/src/spatialdata_plot/pl/utils.py b/src/spatialdata_plot/pl/utils.py
index fc217181..7c0c253b 100644
--- a/src/spatialdata_plot/pl/utils.py
+++ b/src/spatialdata_plot/pl/utils.py
@@ -354,7 +354,9 @@ def _get_extent_after_transformations(element: Any, cs_name: str) -> Sequence[in
             transformations = get_transformation(tmp, to_coordinate_system=cs_name)
             transformations = _flatten_transformation_sequence(transformations)
 
-            if len(transformations) == 1 and isinstance(transformations[0], sd.transformations.transformations.Identity):
+            if len(transformations) == 1 and isinstance(
+                transformations[0], sd.transformations.transformations.Identity
+            ):
                 result = (0, tmp.shape[x_idx], 0, tmp.shape[y_idx])
 
             else:

From 90209c1051ec54403ca4d0b0a4371cc517ab4e31 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Fri, 13 Oct 2023 10:35:52 +0200
Subject: [PATCH 10/31] fix problem of figure = None when user gives Axes
 object

---
 src/spatialdata_plot/pl/utils.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/src/spatialdata_plot/pl/utils.py b/src/spatialdata_plot/pl/utils.py
index 7c0c253b..67edc1e6 100644
--- a/src/spatialdata_plot/pl/utils.py
+++ b/src/spatialdata_plot/pl/utils.py
@@ -119,6 +119,10 @@ def _prepare_params_plot(
         axs = None
         if ax is None:
             fig, ax = plt.subplots(figsize=figsize, dpi=dpi, constrained_layout=True)
+        elif isinstance(ax, Axes):
+            fig = ax.get_figure()
+            fig.set_dpi(dpi)
+            fig.set_size_inches(figsize)
 
     # set scalebar
     if scalebar_dx is not None:

From 2e28c3833eaa1d32357e3c16210e525d9785c5b9 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Fri, 13 Oct 2023 15:51:30 +0200
Subject: [PATCH 11/31] commit before merging with main

---
 src/spatialdata_plot/pl/basic.py |  3 +-
 src/spatialdata_plot/pl/utils.py | 66 +++++++++++++-------------------
 2 files changed, 27 insertions(+), 42 deletions(-)

diff --git a/src/spatialdata_plot/pl/basic.py b/src/spatialdata_plot/pl/basic.py
index 0c888ab7..65c23155 100644
--- a/src/spatialdata_plot/pl/basic.py
+++ b/src/spatialdata_plot/pl/basic.py
@@ -668,8 +668,7 @@ def show(
                         fig_params=fig_params,
                         scalebar_params=scalebar_params,
                         legend_params=legend_params,
-                        # TODO: this is wrong somehow
-                        do_rasterization=not (isinstance(params.scale, str) and dpi is not None),
+                        do_rasterization=not isinstance(params.scale, str) or dpi is not None,
                     )
                 elif cmd == "render_shapes" and cs_contents.query(f"cs == '{cs}'")["has_shapes"][0]:
                     _render_shapes(
diff --git a/src/spatialdata_plot/pl/utils.py b/src/spatialdata_plot/pl/utils.py
index 67edc1e6..33273a55 100644
--- a/src/spatialdata_plot/pl/utils.py
+++ b/src/spatialdata_plot/pl/utils.py
@@ -56,7 +56,7 @@
 from spatialdata._logging import logger as logging
 from spatialdata._types import ArrayLike
 from spatialdata.models import Image2DModel, Labels2DModel, SpatialElement
-from spatialdata.transformations import Identity, Scale, get_transformation
+from spatialdata.transformations import get_transformation
 
 from spatialdata_plot.pl.render_params import (
     CmapParams,
@@ -1198,7 +1198,7 @@ def _translate_image(
 
     img = image.values.copy()
     # for yx images (important for rasterized MultiscaleImages as labels)
-    # TODO: this doesn't work as it should yet... no errors but blank image in the end
+    # TODO: this doesn't work as it should yet? no errors but blank image in the end
     expanded_dims = False
     if len(img.shape) == 2:
         img = np.expand_dims(img, axis=0)
@@ -1401,28 +1401,6 @@ def _get_valid_cs(
     return valid_cs
 
 
-# TODO: delete?
-def _get_elements_to_rasterize(
-    sdata: sd.SpatialData,
-    coordinate_system: str,
-    elements_to_be_rendered: list[str],
-) -> list[str]:
-    """Test which SpatialData elements need to be rasterized.
-
-    Given a coordinate system, test if there are MultiscaleSpatialImage objects
-    Their names are returned.
-    """
-    cs_mapping = _get_coordinate_system_mapping(sdata)
-    elements = cs_mapping[coordinate_system]
-    to_rasterize = []
-    for e in elements:
-        if (e in elements_to_be_rendered or len(elements_to_be_rendered) == 0) and isinstance(
-            sdata[e], MultiscaleSpatialImage
-        ):
-            to_rasterize.append(e)
-    return to_rasterize
-
-
 def _rasterize_if_necessary(
     image: SpatialImage, dpi: float, width: float, height: float, coordinate_system: str
 ) -> SpatialImage:
@@ -1522,28 +1500,36 @@ def _multiscale_to_spatial_image(
         x_dims = [multiscale_image[scale].dims["x"] for scale in scales]
         y_dims = [multiscale_image[scale].dims["y"] for scale in scales]
 
+        # ensure that lists are sorted
+        order = np.argsort(x_dims)
+        scales = [scales[i] for i in order]
+        x_dims = [x_dims[i] for i in order]
+        y_dims = [y_dims[i] for i in order]
+
         optimal_x = width * dpi
         optimal_y = height * dpi
 
-        # get scale where the dimensions are closest to the optimal values
-        # TODO: when in between, always pick higher resolution (downscaled afterwards)
-        optimal_index_x = min(range(len(x_dims)), key=lambda i: abs(x_dims[i] - optimal_x))
-        optimal_index_y = min(range(len(y_dims)), key=lambda i: abs(y_dims[i] - optimal_y))
+        # get scale where the dimensions are close to the optimal values
+        # when possible, pick higher resolution (worst case: downscaled afterwards)
+        optimal_index_y = np.searchsorted(y_dims, optimal_y)
+        if optimal_index_y == len(y_dims):
+            optimal_index_y -= 1
+        optimal_index_x = np.searchsorted(x_dims, optimal_x)
+        if optimal_index_x == len(x_dims):
+            optimal_index_x -= 1
 
-        # pick the scale with higher resolution. Will still be downscaled
+        # pick the scale with higher resolution (worst case: downscaled afterwards)
         optimal_scale = scales[min(optimal_index_x, optimal_index_y)]
 
-    image = multiscale_image[optimal_scale].ds.to_array().squeeze(axis=0)
+    # TODO: are there cases with > 1 data variable?
+    data_var_keys = list(multiscale_image[optimal_scale].data_vars)
+    image = multiscale_image[optimal_scale][data_var_keys[0]]
+    y_coords = image.coords["y"]
+    x_coords = image.coords["x"]
     image = Labels2DModel.parse(image) if is_label else Image2DModel.parse(image)
 
-    # Bring image to the original scale again
-    y_scale = multiscale_image[optimal_scale]["y"].values[1] - multiscale_image[optimal_scale]["y"].values[0]
-    x_scale = multiscale_image[optimal_scale]["x"].values[1] - multiscale_image[optimal_scale]["x"].values[0]
+    image.coords["y"] = y_coords
+    image.coords["x"] = x_coords
 
-    image.transform[coordinate_system] = sd.transformations.Sequence(
-        [
-            Scale([y_scale, x_scale], ("y", "x")),
-            Identity(),
-        ]
-    )
-    return _robust_transform(image, coordinate_system)
+    # return _robust_transform(image, coordinate_system)
+    return image

From d369c3c83a867b4e6e86f3208363463e0728508c Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Fri, 13 Oct 2023 13:57:47 +0000
Subject: [PATCH 12/31] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 src/spatialdata_plot/pl/basic.py  | 1 -
 src/spatialdata_plot/pl/render.py | 2 --
 src/spatialdata_plot/pl/utils.py  | 1 -
 3 files changed, 4 deletions(-)

diff --git a/src/spatialdata_plot/pl/basic.py b/src/spatialdata_plot/pl/basic.py
index 32bbb71f..4247ddc1 100644
--- a/src/spatialdata_plot/pl/basic.py
+++ b/src/spatialdata_plot/pl/basic.py
@@ -41,7 +41,6 @@
 )
 from spatialdata_plot.pl.utils import (
     _get_cs_contents,
-    _get_valid_cs,
     _maybe_set_colors,
     _mpl_ax_contains_elements,
     _prepare_cmap_norm,
diff --git a/src/spatialdata_plot/pl/render.py b/src/spatialdata_plot/pl/render.py
index bc525130..7dfc2c81 100644
--- a/src/spatialdata_plot/pl/render.py
+++ b/src/spatialdata_plot/pl/render.py
@@ -18,8 +18,6 @@
 from pandas.api.types import is_categorical_dtype
 from scanpy._settings import settings as sc_settings
 from spatialdata.models import (
-    Image2DModel,
-    Labels2DModel,
     PointsModel,
 )
 from spatialdata.transformations import (
diff --git a/src/spatialdata_plot/pl/utils.py b/src/spatialdata_plot/pl/utils.py
index e847a7f4..4090022c 100644
--- a/src/spatialdata_plot/pl/utils.py
+++ b/src/spatialdata_plot/pl/utils.py
@@ -50,7 +50,6 @@
 from skimage.segmentation import find_boundaries
 from skimage.util import map_array
 from spatial_image import SpatialImage
-from spatialdata import transform
 from spatialdata._core.operations.rasterize import rasterize
 from spatialdata._core.query.relational_query import _locate_value, get_values
 from spatialdata._logging import logger as logging

From dac11bf6faee38625c0635a0c55c34d077bd47b6 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Fri, 13 Oct 2023 16:07:29 +0200
Subject: [PATCH 13/31] cleanup after merging with main

---
 src/spatialdata_plot/pl/render.py | 10 ++++------
 src/spatialdata_plot/pl/utils.py  |  5 +++--
 2 files changed, 7 insertions(+), 8 deletions(-)

diff --git a/src/spatialdata_plot/pl/render.py b/src/spatialdata_plot/pl/render.py
index 7dfc2c81..801f8cc1 100644
--- a/src/spatialdata_plot/pl/render.py
+++ b/src/spatialdata_plot/pl/render.py
@@ -332,9 +332,8 @@ def _render_images(
     if elements is None:
         elements = list(sdata_filt.images.keys())
 
-    images = [sdata.images[e] for e in elements]
-
-    for img in images:
+    for e in elements:
+        img = sdata.images[e]
         # get best scale out of multiscale image
         if isinstance(img, MultiscaleSpatialImage):
             img = _multiscale_to_spatial_image(
@@ -526,9 +525,8 @@ def _render_labels(
     if elements is None:
         elements = list(sdata_filt.labels.keys())
 
-    labels = [sdata.labels[e] for e in elements]
-
-    for label, label_key in zip(labels, elements):
+    for e in elements:
+        label = sdata_filt.labels[e]
         # get best scale out of multiscale label
         if isinstance(label, MultiscaleSpatialImage):
             label = _multiscale_to_spatial_image(
diff --git a/src/spatialdata_plot/pl/utils.py b/src/spatialdata_plot/pl/utils.py
index 4090022c..88d29907 100644
--- a/src/spatialdata_plot/pl/utils.py
+++ b/src/spatialdata_plot/pl/utils.py
@@ -54,7 +54,7 @@
 from spatialdata._core.query.relational_query import _locate_value, get_values
 from spatialdata._logging import logger as logging
 from spatialdata._types import ArrayLike
-from spatialdata.models import Image2DModel, SpatialElement
+from spatialdata.models import Image2DModel, Labels2DModel, SpatialElement
 
 from spatialdata_plot.pl.render_params import (
     CmapParams,
@@ -1138,7 +1138,8 @@ def _rasterize_if_necessary(
         image = rasterize(
             image, ("y", "x"), [0, 0], [y_dims, x_dims], coordinate_system, target_unit_to_pixels=target_unit_to_pixels
         )
-        image = _robust_transform(image, coordinate_system)
+        # TODO: ???
+        # image = _robust_transform(image, coordinate_system)
         logging.info(f"Rasterization (target_unit_to_pixels = {target_unit_to_pixels}) to improve performance.")
 
     return image

From 4ea8cea1b1263ce8de2afa619184675e71dc268f Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Fri, 13 Oct 2023 16:59:15 +0200
Subject: [PATCH 14/31] minor changes

---
 src/spatialdata_plot/pl/render.py |  6 +++---
 src/spatialdata_plot/pl/utils.py  | 17 ++++++-----------
 2 files changed, 9 insertions(+), 14 deletions(-)

diff --git a/src/spatialdata_plot/pl/render.py b/src/spatialdata_plot/pl/render.py
index 801f8cc1..a5305556 100644
--- a/src/spatialdata_plot/pl/render.py
+++ b/src/spatialdata_plot/pl/render.py
@@ -379,7 +379,7 @@ def _render_images(
             raise ValueError("If 'cmap' is provided, its length must match the number of channels.")
 
         # prepare transformations
-        trans = get_transformation(sdata.images[e], get_all=True)[coordinate_system]
+        trans = get_transformation(img, get_all=True)[coordinate_system]
         affine_trans = trans.to_affine_matrix(input_axes=("x", "y"), output_axes=("x", "y"))
         trans = mtransforms.Affine2D(matrix=affine_trans)
         trans_data = trans + ax.transData
@@ -560,7 +560,7 @@ def _render_labels(
             # get instance id based on subsetted table
             instance_id = table.obs[instance_key].values
 
-        trans = get_transformation(sdata.labels[e], get_all=True)[coordinate_system]
+        trans = get_transformation(label, get_all=True)[coordinate_system]
         affine_trans = trans.to_affine_matrix(input_axes=("x", "y"), output_axes=("x", "y"))
         trans = mtransforms.Affine2D(matrix=affine_trans)
         trans_data = trans + ax.transData
@@ -568,7 +568,7 @@ def _render_labels(
         # get color vector (categorical or continuous)
         color_source_vector, color_vector, categorical = _set_color_source_vec(
             sdata=sdata_filt,
-            element=sdata_filt.labels[e],
+            element=label,
             element_name=e,
             value_to_plot=render_params.color,
             layer=render_params.layer,
diff --git a/src/spatialdata_plot/pl/utils.py b/src/spatialdata_plot/pl/utils.py
index 88d29907..16e4b235 100644
--- a/src/spatialdata_plot/pl/utils.py
+++ b/src/spatialdata_plot/pl/utils.py
@@ -118,6 +118,7 @@ def _prepare_params_plot(
         if ax is None:
             fig, ax = plt.subplots(figsize=figsize, dpi=dpi, constrained_layout=True)
         elif isinstance(ax, Axes):
+            # needed for rasterization if user provides Axes object
             fig = ax.get_figure()
             fig.set_dpi(dpi)
             fig.set_size_inches(figsize)
@@ -1138,9 +1139,10 @@ def _rasterize_if_necessary(
         image = rasterize(
             image, ("y", "x"), [0, 0], [y_dims, x_dims], coordinate_system, target_unit_to_pixels=target_unit_to_pixels
         )
-        # TODO: ???
-        # image = _robust_transform(image, coordinate_system)
-        logging.info(f"Rasterization (target_unit_to_pixels = {target_unit_to_pixels}) to improve performance.")
+        logging.info(
+            f"Performed rasterization (with target_unit_to_pixels = {round(target_unit_to_pixels, 2)}) "
+            "to improve performance."
+        )
 
     return image
 
@@ -1215,12 +1217,5 @@ def _multiscale_to_spatial_image(
     # TODO: are there cases with > 1 data variable?
     data_var_keys = list(multiscale_image[optimal_scale].data_vars)
     image = multiscale_image[optimal_scale][data_var_keys[0]]
-    y_coords = image.coords["y"]
-    x_coords = image.coords["x"]
-    image = Labels2DModel.parse(image) if is_label else Image2DModel.parse(image)
-
-    image.coords["y"] = y_coords
-    image.coords["x"] = x_coords
 
-    # return _robust_transform(image, coordinate_system)
-    return image
+    return Labels2DModel.parse(image) if is_label else Image2DModel.parse(image)

From 048eef522b7ba30d6bab7dbcf0e39dcfd3b250b7 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Sun, 15 Oct 2023 12:08:53 +0200
Subject: [PATCH 15/31] attempt test error fix

---
 src/spatialdata_plot/pl/utils.py | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/src/spatialdata_plot/pl/utils.py b/src/spatialdata_plot/pl/utils.py
index 16e4b235..dd772024 100644
--- a/src/spatialdata_plot/pl/utils.py
+++ b/src/spatialdata_plot/pl/utils.py
@@ -121,7 +121,7 @@ def _prepare_params_plot(
             # needed for rasterization if user provides Axes object
             fig = ax.get_figure()
             fig.set_dpi(dpi)
-            fig.set_size_inches(figsize)
+            # fig.set_size_inches(figsize)
 
     # set scalebar
     if scalebar_dx is not None:
@@ -946,7 +946,6 @@ def _translate_image(
     shifts: dict[str, int] = {axis: int(translation.translation[idx]) for idx, axis in enumerate(translation.axes)}
     img = image.values.copy()
     # for yx images (important for rasterized MultiscaleImages as labels)
-    # TODO: this doesn't work as it should yet? no errors but blank image in the end
     expanded_dims = False
     if len(img.shape) == 2:
         img = np.expand_dims(img, axis=0)
@@ -1214,7 +1213,7 @@ def _multiscale_to_spatial_image(
         # pick the scale with higher resolution (worst case: downscaled afterwards)
         optimal_scale = scales[min(optimal_index_x, optimal_index_y)]
 
-    # TODO: are there cases with > 1 data variable?
+    # NOTE: problematic if there are cases with > 1 data variable
     data_var_keys = list(multiscale_image[optimal_scale].data_vars)
     image = multiscale_image[optimal_scale][data_var_keys[0]]
 

From 3ff03883278ff1ff333e0ac887a67b37a7852a75 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Sun, 15 Oct 2023 15:20:34 +0200
Subject: [PATCH 16/31] remove unnecessary code, add tests, update changelog

---
 CHANGELOG.md                                    |   2 ++
 src/spatialdata_plot/pl/render.py               |   2 --
 src/spatialdata_plot/pl/utils.py                |   6 +-----
 ...n_render_given_scale_of_multiscale_image.png | Bin 0 -> 38431 bytes
 .../Images_can_render_multiscale_image.png      | Bin 0 -> 39025 bytes
 ..._render_given_scale_of_multiscale_labels.png | Bin 0 -> 15412 bytes
 .../Labels_can_render_multiscale_labels.png     | Bin 0 -> 12564 bytes
 tests/pl/test_render_images.py                  |   6 ++++++
 tests/pl/test_render_labels.py                  |  10 ++++++++++
 9 files changed, 19 insertions(+), 7 deletions(-)
 create mode 100644 tests/_images/Images_can_render_given_scale_of_multiscale_image.png
 create mode 100644 tests/_images/Images_can_render_multiscale_image.png
 create mode 100644 tests/_images/Labels_can_render_given_scale_of_multiscale_labels.png
 create mode 100644 tests/_images/Labels_can_render_multiscale_labels.png

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 8daa873c..2279292f 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -13,6 +13,8 @@ and this project adheres to [Semantic Versioning][].
 ### Added
 
 -   Pushed `get_extent` functionality upstream to `spatialdata` (#162)
+-   Multiscale image handling: user can specify a scale, else the best scale is selected automatically given the figure size and dpi (#164)
+-   Large images are automatically rasterized to speed up performance (#164)
 
 ### Fixed
 
diff --git a/src/spatialdata_plot/pl/render.py b/src/spatialdata_plot/pl/render.py
index a5305556..8a524011 100644
--- a/src/spatialdata_plot/pl/render.py
+++ b/src/spatialdata_plot/pl/render.py
@@ -341,7 +341,6 @@ def _render_images(
                 dpi=fig_params.fig.dpi,
                 width=fig_params.fig.get_size_inches()[0],
                 height=fig_params.fig.get_size_inches()[1],
-                coordinate_system=coordinate_system,
                 scale=render_params.scale,
             )
         # rasterize spatial image if necessary to speed up performance
@@ -534,7 +533,6 @@ def _render_labels(
                 dpi=fig_params.fig.dpi,
                 width=fig_params.fig.get_size_inches()[0],
                 height=fig_params.fig.get_size_inches()[1],
-                coordinate_system=coordinate_system,
                 scale=render_params.scale,
                 is_label=True,
             )
diff --git a/src/spatialdata_plot/pl/utils.py b/src/spatialdata_plot/pl/utils.py
index dd772024..462c2f56 100644
--- a/src/spatialdata_plot/pl/utils.py
+++ b/src/spatialdata_plot/pl/utils.py
@@ -121,7 +121,6 @@ def _prepare_params_plot(
             # needed for rasterization if user provides Axes object
             fig = ax.get_figure()
             fig.set_dpi(dpi)
-            # fig.set_size_inches(figsize)
 
     # set scalebar
     if scalebar_dx is not None:
@@ -1127,7 +1126,7 @@ def _rasterize_if_necessary(
     target_y_dims = dpi * height
     target_x_dims = dpi * width
 
-    # TODO: when do we want to rasterize?
+    # TODO: when exactly do we want to rasterize?
     do_rasterization = y_dims > target_y_dims + 100 or x_dims > target_x_dims + 100
     if x_dims < 2000 and y_dims < 2000:
         do_rasterization = False
@@ -1151,7 +1150,6 @@ def _multiscale_to_spatial_image(
     dpi: float,
     width: float,
     height: float,
-    coordinate_system: str,
     scale: str | None = None,
     is_label: bool = False,
 ) -> SpatialImage:
@@ -1170,8 +1168,6 @@ def _multiscale_to_spatial_image(
         width of the target image in inches
     height
         height of the target image in inches
-    coordinate_system
-        name of the coordinate system the image belongs to
     scale
         specific scale that the user chose, if None the heuristic is used
     is_label
diff --git a/tests/_images/Images_can_render_given_scale_of_multiscale_image.png b/tests/_images/Images_can_render_given_scale_of_multiscale_image.png
new file mode 100644
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GIT binary patch
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diff --git a/tests/_images/Images_can_render_multiscale_image.png b/tests/_images/Images_can_render_multiscale_image.png
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literal 0
HcmV?d00001

diff --git a/tests/pl/test_render_images.py b/tests/pl/test_render_images.py
index 6189e189..238e7ce3 100644
--- a/tests/pl/test_render_images.py
+++ b/tests/pl/test_render_images.py
@@ -49,3 +49,9 @@ def test_plot_can_pass_cmap_to_each_channel(self, sdata_blobs: SpatialData):
 
     def test_plot_can_normalize_image(self, sdata_blobs: SpatialData):
         sdata_blobs.pl.render_images(elements="blobs_image", quantiles_for_norm=(5, 90)).pl.show()
+
+    def test_plot_can_render_multiscale_image(self, sdata_blobs: SpatialData):
+        sdata_blobs.pl.render_images("blobs_multiscale_image").pl.show()
+
+    def test_plot_can_render_given_scale_of_multiscale_image(self, sdata_blobs: SpatialData):
+        sdata_blobs.pl.render_images("blobs_multiscale_image", scale="scale2").pl.show()
diff --git a/tests/pl/test_render_labels.py b/tests/pl/test_render_labels.py
index aec09e4c..5fb86046 100644
--- a/tests/pl/test_render_labels.py
+++ b/tests/pl/test_render_labels.py
@@ -21,3 +21,13 @@
 class TestLabels(PlotTester, metaclass=PlotTesterMeta):
     def test_plot_can_render_labels(self, sdata_blobs: SpatialData):
         sdata_blobs.pl.render_labels(elements="blobs_labels").pl.show()
+
+    def test_plot_can_render_multiscale_labels(self, sdata_blobs: SpatialData):
+        sdata_blobs.table.obs["region"] = "blobs_multiscale_labels"
+        sdata_blobs.table.uns["spatialdata_attrs"]["region"] = "blobs_multiscale_labels"
+        sdata_blobs.pl.render_labels("blobs_multiscale_labels").pl.show()
+
+    def test_plot_can_render_given_scale_of_multiscale_labels(self, sdata_blobs: SpatialData):
+        sdata_blobs.table.obs["region"] = "blobs_multiscale_labels"
+        sdata_blobs.table.uns["spatialdata_attrs"]["region"] = "blobs_multiscale_labels"
+        sdata_blobs.pl.render_labels("blobs_multiscale_labels", scale="scale1").pl.show()

From d83ac3c782cbc37a7a946ed3cd98f9829817a0ff Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Sun, 15 Oct 2023 17:33:56 +0200
Subject: [PATCH 17/31] attempt test error fix

---
 ...render_given_scale_of_multiscale_image.png | Bin 38431 -> 38995 bytes
 .../Images_can_render_multiscale_image.png    | Bin 39025 -> 39122 bytes
 2 files changed, 0 insertions(+), 0 deletions(-)

diff --git a/tests/_images/Images_can_render_given_scale_of_multiscale_image.png b/tests/_images/Images_can_render_given_scale_of_multiscale_image.png
index a672a2aa92968c2937beb28bf32143a87edde8b2..a72aa5a0f04bb3b5d1973e088687788f03b0107c 100644
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From f7c0f94c6f27198e8e0be0d734a6d8f3404cfad8 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Tue, 17 Oct 2023 16:15:42 +0200
Subject: [PATCH 18/31] attempt test error fix 2

---
 ...render_given_scale_of_multiscale_image.png | Bin 38995 -> 35235 bytes
 .../Images_can_render_multiscale_image.png    | Bin 39122 -> 35384 bytes
 2 files changed, 0 insertions(+), 0 deletions(-)

diff --git a/tests/_images/Images_can_render_given_scale_of_multiscale_image.png b/tests/_images/Images_can_render_given_scale_of_multiscale_image.png
index a72aa5a0f04bb3b5d1973e088687788f03b0107c..e1ba8949333c0bde92f699cae793d161cde2f45d 100644
GIT binary patch
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diff --git a/tests/_images/Images_can_render_multiscale_image.png b/tests/_images/Images_can_render_multiscale_image.png
index 43390de447c3176c3ec2e468bfaafea63aac6221..48553078f1ad6d7f06663b2afbfb6b1dbac60c17 100644
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From 730a4ad8b8b35e5fce41a022e4adb2a50bad6211 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Tue, 17 Oct 2023 20:46:27 +0200
Subject: [PATCH 19/31] add option for scale=full

---
 src/spatialdata_plot/pl/basic.py | 26 ++++++++++++++++++++++----
 src/spatialdata_plot/pl/utils.py | 12 +++++++-----
 2 files changed, 29 insertions(+), 9 deletions(-)

diff --git a/src/spatialdata_plot/pl/basic.py b/src/spatialdata_plot/pl/basic.py
index 4247ddc1..a58d85b6 100644
--- a/src/spatialdata_plot/pl/basic.py
+++ b/src/spatialdata_plot/pl/basic.py
@@ -342,7 +342,13 @@ def render_images(
         quantiles_for_norm
             Tuple of (pmin, pmax) which will be used for quantile normalization.
         scale
-            Specific scale out of multiscale images to be plotted. If None, a scale is chosen heuristically
+            Influences the resolution of the rendering. There are three possibilities for setting this parameter:
+                1) None (default). The image is rasterized to fit the canvas size. For multiscale images, the best scale
+                is selected before the rasterization step.
+                2) Name of one of the scales in the multiscale image to be rendered. This scale is rendered as it is
+                (exception: a dpi is specified in `show()`. Then the image is rasterized to fit the canvas and dpi).
+                3) "full": render the full image without rasterization. In the case of a multiscale image, the scale
+                with the highest resolution is selected. This can lead to long computing times for large images!
         kwargs
             Additional arguments to be passed to cmap and norm.
 
@@ -439,7 +445,13 @@ def render_labels(
         alpha
             Alpha value for the labels.
         scale
-            Specific scale out of multiscale labels to be plotted. If None, a scale is chosen heuristically
+            Influences the resolution of the rendering. There are three possibilities for setting this parameter:
+                1) None (default). The image is rasterized to fit the canvas size. For multiscale images, the best scale
+                is selected before the rasterization step.
+                2) Name of one of the scales in the multiscale image to be rendered. This scale is rendered as it is
+                (exception: a dpi is specified in `show()`. Then the image is rasterized to fit the canvas and dpi).
+                3) "full": render the full image without rasterization. In the case of a multiscale image, the scale
+                with the highest resolution is selected. This can lead to long computing times for large images!
         kwargs
             Additional arguments to be passed to cmap and norm.
 
@@ -624,6 +636,9 @@ def show(
 
             for cmd, params in render_cmds.items():
                 if cmd == "render_images" and has_images:
+                    do_rasterization = (params.scale is None) or (
+                        isinstance(params.scale, str) and params.scale != "full" and dpi is not None
+                    )
                     _render_images(
                         sdata=sdata,
                         render_params=params,
@@ -632,7 +647,7 @@ def show(
                         fig_params=fig_params,
                         scalebar_params=scalebar_params,
                         legend_params=legend_params,
-                        do_rasterization=not isinstance(params.scale, str) or dpi is not None,
+                        do_rasterization=do_rasterization,
                     )
                     wants_images = True
                     wanted_images = params.elements if params.elements is not None else list(sdata.images.keys())
@@ -694,6 +709,9 @@ def show(
                                 key=params.color,
                                 palette=params.palette,
                             )
+                    do_rasterization = (params.scale is None) or (
+                        isinstance(params.scale, str) and params.scale != "full" and dpi is not None
+                    )
                     _render_labels(
                         sdata=sdata,
                         render_params=params,
@@ -702,7 +720,7 @@ def show(
                         fig_params=fig_params,
                         scalebar_params=scalebar_params,
                         legend_params=legend_params,
-                        do_rasterization=not (isinstance(params.scale, str) and dpi is not None),
+                        do_rasterization=do_rasterization,
                     )
                     wants_labels = True
                     wanted_labels = params.elements if params.elements is not None else list(sdata.labels.keys())
diff --git a/src/spatialdata_plot/pl/utils.py b/src/spatialdata_plot/pl/utils.py
index 462c2f56..5b465628 100644
--- a/src/spatialdata_plot/pl/utils.py
+++ b/src/spatialdata_plot/pl/utils.py
@@ -1179,15 +1179,17 @@ def _multiscale_to_spatial_image(
         To be rendered, extracted from the MultiscaleSpatialImage respecting the dpi and size of the target image.
     """
     scales = [leaf.name for leaf in multiscale_image.leaves]
+    x_dims = [multiscale_image[scale].dims["x"] for scale in scales]
+    y_dims = [multiscale_image[scale].dims["y"] for scale in scales]
 
     if isinstance(scale, str):
-        if scale not in scales:
-            raise ValueError(f"Scale {scale} does not exist. Please select one of {scales}!")
+        if scale not in scales and scale != "full":
+            raise ValueError(f'Scale {scale} does not exist. Please select one of {scales} or set scale = "full"!')
         optimal_scale = scale
+        if scale == "full":
+            # use scale with highest resolution
+            optimal_scale = scales[np.argmax(x_dims)]
     else:
-        x_dims = [multiscale_image[scale].dims["x"] for scale in scales]
-        y_dims = [multiscale_image[scale].dims["y"] for scale in scales]
-
         # ensure that lists are sorted
         order = np.argsort(x_dims)
         scales = [scales[i] for i in order]

From cadc11fc2dd4a60a900b1998c2e603be79d83d65 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Thu, 19 Oct 2023 10:20:11 +0200
Subject: [PATCH 20/31] fix error when plotting image from only one cs

---
 src/spatialdata_plot/pl/basic.py | 144 +++++++++++++++----------------
 1 file changed, 72 insertions(+), 72 deletions(-)

diff --git a/src/spatialdata_plot/pl/basic.py b/src/spatialdata_plot/pl/basic.py
index a58d85b6..4ba87b42 100644
--- a/src/spatialdata_plot/pl/basic.py
+++ b/src/spatialdata_plot/pl/basic.py
@@ -636,68 +636,68 @@ def show(
 
             for cmd, params in render_cmds.items():
                 if cmd == "render_images" and has_images:
-                    do_rasterization = (params.scale is None) or (
-                        isinstance(params.scale, str) and params.scale != "full" and dpi is not None
-                    )
-                    _render_images(
-                        sdata=sdata,
-                        render_params=params,
-                        coordinate_system=cs,
-                        ax=ax,
-                        fig_params=fig_params,
-                        scalebar_params=scalebar_params,
-                        legend_params=legend_params,
-                        do_rasterization=do_rasterization,
-                    )
                     wants_images = True
                     wanted_images = params.elements if params.elements is not None else list(sdata.images.keys())
-                    wanted_elements.extend(
-                        [
-                            image
-                            for image in wanted_images
-                            if cs in set(get_transformation(sdata.images[image], get_all=True).keys())
-                        ]
-                    )
+                    wanted_images_on_this_cs = [
+                        image
+                        for image in wanted_images
+                        if cs in set(get_transformation(sdata.images[image], get_all=True).keys())
+                    ]
+                    wanted_elements.extend(wanted_images_on_this_cs)
+                    if len(wanted_images_on_this_cs) > 0:
+                        do_rasterization = (params.scale is None) or (
+                            isinstance(params.scale, str) and params.scale != "full" and dpi is not None
+                        )
+                        _render_images(
+                            sdata=sdata,
+                            render_params=params,
+                            coordinate_system=cs,
+                            ax=ax,
+                            fig_params=fig_params,
+                            scalebar_params=scalebar_params,
+                            legend_params=legend_params,
+                            do_rasterization=do_rasterization,
+                        )
 
                 elif cmd == "render_shapes" and has_shapes:
-                    _render_shapes(
-                        sdata=sdata,
-                        render_params=params,
-                        coordinate_system=cs,
-                        ax=ax,
-                        fig_params=fig_params,
-                        scalebar_params=scalebar_params,
-                        legend_params=legend_params,
-                    )
                     wants_shapes = True
                     wanted_shapes = params.elements if params.elements is not None else list(sdata.shapes.keys())
-                    wanted_elements.extend(
-                        [
-                            shape
-                            for shape in wanted_shapes
-                            if cs in set(get_transformation(sdata.shapes[shape], get_all=True).keys())
-                        ]
-                    )
+                    wanted_shapes_on_this_cs = [
+                        shape
+                        for shape in wanted_shapes
+                        if cs in set(get_transformation(sdata.shapes[shape], get_all=True).keys())
+                    ]
+                    wanted_elements.extend(wanted_shapes_on_this_cs)
+                    if len(wanted_shapes_on_this_cs) > 0:
+                        _render_shapes(
+                            sdata=sdata,
+                            render_params=params,
+                            coordinate_system=cs,
+                            ax=ax,
+                            fig_params=fig_params,
+                            scalebar_params=scalebar_params,
+                            legend_params=legend_params,
+                        )
 
                 elif cmd == "render_points" and has_points:
-                    _render_points(
-                        sdata=sdata,
-                        render_params=params,
-                        coordinate_system=cs,
-                        ax=ax,
-                        fig_params=fig_params,
-                        scalebar_params=scalebar_params,
-                        legend_params=legend_params,
-                    )
                     wants_points = True
                     wanted_points = params.elements if params.elements is not None else list(sdata.points.keys())
-                    wanted_elements.extend(
-                        [
-                            point
-                            for point in wanted_points
-                            if cs in set(get_transformation(sdata.points[point], get_all=True).keys())
-                        ]
-                    )
+                    wanted_points_on_this_cs = [
+                        point
+                        for point in wanted_points
+                        if cs in set(get_transformation(sdata.points[point], get_all=True).keys())
+                    ]
+                    wanted_elements.extend(wanted_points_on_this_cs)
+                    if len(wanted_points_on_this_cs) > 0:
+                        _render_points(
+                            sdata=sdata,
+                            render_params=params,
+                            coordinate_system=cs,
+                            ax=ax,
+                            fig_params=fig_params,
+                            scalebar_params=scalebar_params,
+                            legend_params=legend_params,
+                        )
 
                 elif cmd == "render_labels" and has_labels:
                     if sdata.table is not None and isinstance(params.color, str):
@@ -709,28 +709,28 @@ def show(
                                 key=params.color,
                                 palette=params.palette,
                             )
-                    do_rasterization = (params.scale is None) or (
-                        isinstance(params.scale, str) and params.scale != "full" and dpi is not None
-                    )
-                    _render_labels(
-                        sdata=sdata,
-                        render_params=params,
-                        coordinate_system=cs,
-                        ax=ax,
-                        fig_params=fig_params,
-                        scalebar_params=scalebar_params,
-                        legend_params=legend_params,
-                        do_rasterization=do_rasterization,
-                    )
                     wants_labels = True
                     wanted_labels = params.elements if params.elements is not None else list(sdata.labels.keys())
-                    wanted_elements.extend(
-                        [
-                            label
-                            for label in wanted_labels
-                            if cs in set(get_transformation(sdata.labels[label], get_all=True).keys())
-                        ]
-                    )
+                    wanted_labels_on_this_cs = [
+                        label
+                        for label in wanted_labels
+                        if cs in set(get_transformation(sdata.labels[label], get_all=True).keys())
+                    ]
+                    wanted_elements.extend(wanted_labels_on_this_cs)
+                    if len(wanted_labels_on_this_cs) > 0:
+                        do_rasterization = (params.scale is None) or (
+                            isinstance(params.scale, str) and params.scale != "full" and dpi is not None
+                        )
+                        _render_labels(
+                            sdata=sdata,
+                            render_params=params,
+                            coordinate_system=cs,
+                            ax=ax,
+                            fig_params=fig_params,
+                            scalebar_params=scalebar_params,
+                            legend_params=legend_params,
+                            do_rasterization=do_rasterization,
+                        )
 
                 if title is None:
                     t = cs

From f9b7bb3be98bcfc7a3291b58cf130d9815271489 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Thu, 19 Oct 2023 11:30:09 +0200
Subject: [PATCH 21/31] add tests for rasterization and scale=full case

---
 tests/_images/Images_can_do_rasterization.png | Bin 0 -> 50311 bytes
 ...can_stop_rasterization_with_scale_full.png | Bin 0 -> 50568 bytes
 tests/_images/Labels_can_do_rasterization.png | Bin 0 -> 39660 bytes
 ...can_stop_rasterization_with_scale_full.png | Bin 0 -> 37071 bytes
 tests/pl/test_render_images.py                |  22 ++++++++++++++
 tests/pl/test_render_labels.py                |  28 ++++++++++++++++++
 6 files changed, 50 insertions(+)
 create mode 100644 tests/_images/Images_can_do_rasterization.png
 create mode 100644 tests/_images/Images_can_stop_rasterization_with_scale_full.png
 create mode 100644 tests/_images/Labels_can_do_rasterization.png
 create mode 100644 tests/_images/Labels_can_stop_rasterization_with_scale_full.png

diff --git a/tests/_images/Images_can_do_rasterization.png b/tests/_images/Images_can_do_rasterization.png
new file mode 100644
index 0000000000000000000000000000000000000000..4b76c9b8728c89e88992ec3972c7eaf4d551baf2
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diff --git a/tests/_images/Labels_can_do_rasterization.png b/tests/_images/Labels_can_do_rasterization.png
new file mode 100644
index 0000000000000000000000000000000000000000..a4028164e92774ac6c7ccbd82bc242cb6a7db132
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diff --git a/tests/pl/test_render_images.py b/tests/pl/test_render_images.py
index 238e7ce3..a1b732ff 100644
--- a/tests/pl/test_render_images.py
+++ b/tests/pl/test_render_images.py
@@ -1,6 +1,8 @@
+import dask.array as da
 import matplotlib
 import scanpy as sc
 import spatialdata_plot  # noqa: F401
+from spatial_image import to_spatial_image
 from spatialdata import SpatialData
 
 from tests.conftest import PlotTester, PlotTesterMeta
@@ -55,3 +57,23 @@ def test_plot_can_render_multiscale_image(self, sdata_blobs: SpatialData):
 
     def test_plot_can_render_given_scale_of_multiscale_image(self, sdata_blobs: SpatialData):
         sdata_blobs.pl.render_images("blobs_multiscale_image", scale="scale2").pl.show()
+
+    def test_plot_can_do_rasterization(self, sdata_blobs: SpatialData):
+        temp = sdata_blobs["blobs_image"].data.copy()
+        temp = da.concatenate([temp] * 6, axis=1)
+        temp = da.concatenate([temp] * 6, axis=2)
+        img = to_spatial_image(temp, dims=("c", "y", "x"))
+        img.attrs["transform"] = sdata_blobs["blobs_image"].transform
+        sdata_blobs["blobs_giant_image"] = img
+
+        sdata_blobs.pl.render_images("blobs_giant_image").pl.show()
+
+    def test_plot_can_stop_rasterization_with_scale_full(self, sdata_blobs: SpatialData):
+        temp = sdata_blobs["blobs_image"].data.copy()
+        temp = da.concatenate([temp] * 6, axis=1)
+        temp = da.concatenate([temp] * 6, axis=2)
+        img = to_spatial_image(temp, dims=("c", "y", "x"))
+        img.attrs["transform"] = sdata_blobs["blobs_image"].transform
+        sdata_blobs["blobs_giant_image"] = img
+
+        sdata_blobs.pl.render_images("blobs_giant_image", scale="full").pl.show()
diff --git a/tests/pl/test_render_labels.py b/tests/pl/test_render_labels.py
index 5fb86046..52dada28 100644
--- a/tests/pl/test_render_labels.py
+++ b/tests/pl/test_render_labels.py
@@ -1,6 +1,8 @@
+import dask.array as da
 import matplotlib
 import scanpy as sc
 import spatialdata_plot  # noqa: F401
+from spatial_image import to_spatial_image
 from spatialdata import SpatialData
 
 from tests.conftest import PlotTester, PlotTesterMeta
@@ -31,3 +33,29 @@ def test_plot_can_render_given_scale_of_multiscale_labels(self, sdata_blobs: Spa
         sdata_blobs.table.obs["region"] = "blobs_multiscale_labels"
         sdata_blobs.table.uns["spatialdata_attrs"]["region"] = "blobs_multiscale_labels"
         sdata_blobs.pl.render_labels("blobs_multiscale_labels", scale="scale1").pl.show()
+
+    def test_plot_can_do_rasterization(self, sdata_blobs: SpatialData):
+        temp = sdata_blobs["blobs_labels"].data.copy()
+        temp = da.concatenate([temp] * 6, axis=0)
+        temp = da.concatenate([temp] * 6, axis=1)
+        img = to_spatial_image(temp, dims=("y", "x"))
+        img.attrs["transform"] = sdata_blobs["blobs_labels"].transform
+        sdata_blobs["blobs_giant_labels"] = img
+
+        sdata_blobs.table.obs["region"] = "blobs_giant_labels"
+        sdata_blobs.table.uns["spatialdata_attrs"]["region"] = "blobs_giant_labels"
+
+        sdata_blobs.pl.render_labels("blobs_giant_labels").pl.show()
+
+    def test_plot_can_stop_rasterization_with_scale_full(self, sdata_blobs: SpatialData):
+        temp = sdata_blobs["blobs_labels"].data.copy()
+        temp = da.concatenate([temp] * 6, axis=0)
+        temp = da.concatenate([temp] * 6, axis=1)
+        img = to_spatial_image(temp, dims=("y", "x"))
+        img.attrs["transform"] = sdata_blobs["blobs_labels"].transform
+        sdata_blobs["blobs_giant_labels"] = img
+
+        sdata_blobs.table.obs["region"] = "blobs_giant_labels"
+        sdata_blobs.table.uns["spatialdata_attrs"]["region"] = "blobs_giant_labels"
+
+        sdata_blobs.pl.render_labels("blobs_giant_labels", scale="full").pl.show()

From ea766feee9855a058977cd4ef4ccad1cdf6f361b Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Tue, 24 Oct 2023 16:28:29 +0200
Subject: [PATCH 22/31] reintroduce removal of cs w/o relevant elements

---
 src/spatialdata_plot/pl/basic.py | 37 ++++++++++++++++++++++++++++++++
 1 file changed, 37 insertions(+)

diff --git a/src/spatialdata_plot/pl/basic.py b/src/spatialdata_plot/pl/basic.py
index 4ba87b42..71f65241 100644
--- a/src/spatialdata_plot/pl/basic.py
+++ b/src/spatialdata_plot/pl/basic.py
@@ -41,6 +41,7 @@
 )
 from spatialdata_plot.pl.utils import (
     _get_cs_contents,
+    _get_valid_cs,
     _maybe_set_colors,
     _mpl_ax_contains_elements,
     _prepare_cmap_norm,
@@ -596,6 +597,42 @@ def show(
             if cs not in sdata.coordinate_systems:
                 raise ValueError(f"Unknown coordinate system '{cs}', valid choices are: {sdata.coordinate_systems}")
 
+        # Check if user specified only certain elements to be plotted
+        cs_contents = _get_cs_contents(sdata)
+        elements_to_be_rendered = []
+        for cmd, params in render_cmds.items():
+            if cmd == "render_images" and cs_contents.query(f"cs == '{cs}'")["has_images"][0]:  # noqa: SIM114
+                if params.elements is not None:
+                    elements_to_be_rendered += (
+                        [params.elements] if isinstance(params.elements, str) else params.elements
+                    )
+            elif cmd == "render_shapes" and cs_contents.query(f"cs == '{cs}'")["has_shapes"][0]:  # noqa: SIM114
+                if params.elements is not None:
+                    elements_to_be_rendered += (
+                        [params.elements] if isinstance(params.elements, str) else params.elements
+                    )
+            elif cmd == "render_points" and cs_contents.query(f"cs == '{cs}'")["has_points"][0]:  # noqa: SIM114
+                if params.elements is not None:
+                    elements_to_be_rendered += (
+                        [params.elements] if isinstance(params.elements, str) else params.elements
+                    )
+            elif cmd == "render_labels" and cs_contents.query(f"cs == '{cs}'")["has_labels"][0]:  # noqa: SIM102
+                if params.elements is not None:
+                    elements_to_be_rendered += (
+                        [params.elements] if isinstance(params.elements, str) else params.elements
+                    )
+
+        # filter out cs without relevant elements
+        coordinate_systems = _get_valid_cs(
+            sdata=sdata,
+            coordinate_systems=coordinate_systems,
+            render_images="render_images" in render_cmds,
+            render_labels="render_labels" in render_cmds,
+            render_points="render_points" in render_cmds,
+            render_shapes="render_shapes" in render_cmds,
+            elements=elements_to_be_rendered,
+        )
+
         # set up canvas
         fig_params, scalebar_params = _prepare_params_plot(
             num_panels=len(coordinate_systems),

From 9a9913262ae0917ae2ea760c92b38c0fec869086 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Sat, 28 Oct 2023 10:55:44 +0200
Subject: [PATCH 23/31] update reference images

---
 tests/_images/Images_can_do_rasterization.png | Bin 50311 -> 48839 bytes
 ...can_stop_rasterization_with_scale_full.png | Bin 50568 -> 50141 bytes
 2 files changed, 0 insertions(+), 0 deletions(-)

diff --git a/tests/_images/Images_can_do_rasterization.png b/tests/_images/Images_can_do_rasterization.png
index 4b76c9b8728c89e88992ec3972c7eaf4d551baf2..7212de260dd185df6140796b9a6079a19efc67fd 100644
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From bc4ed8244adc8c254be8781f5be89e4585250b53 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Mon, 30 Oct 2023 17:31:20 +0100
Subject: [PATCH 24/31] attempt to resolve pandas version issue

---
 pyproject.toml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/pyproject.toml b/pyproject.toml
index a97a01a9..7b0cba8b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -28,6 +28,7 @@ dependencies = [
     "matplotlib_scalebar",
     "myst-nb",
     "sphinx-copybutton",
+    "pandas<=2.1.1", # newest version from 26.10.2023 causes testing errors
 ]
 
 [project.optional-dependencies]

From 9aec7b2e9bb87f3bf3650fe93be9b740fafcb777 Mon Sep 17 00:00:00 2001
From: Sonja-Stockhaus <105167760+Sonja-Stockhaus@users.noreply.github.com>
Date: Tue, 31 Oct 2023 17:11:34 +0100
Subject: [PATCH 25/31] remove pandas constraint

---
 pyproject.toml | 1 -
 1 file changed, 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 7b0cba8b..a97a01a9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -28,7 +28,6 @@ dependencies = [
     "matplotlib_scalebar",
     "myst-nb",
     "sphinx-copybutton",
-    "pandas<=2.1.1", # newest version from 26.10.2023 causes testing errors
 ]
 
 [project.optional-dependencies]

From 9d24ebaf0204f939e6dbdf6ae6bdcfce96c763e1 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Wed, 1 Nov 2023 11:36:23 +0100
Subject: [PATCH 26/31] bugfix multiscale image extent, add info logging about
 selected scale

---
 src/spatialdata_plot/pl/render.py |  5 +++++
 src/spatialdata_plot/pl/utils.py  | 19 +++++++++++++++++--
 2 files changed, 22 insertions(+), 2 deletions(-)

diff --git a/src/spatialdata_plot/pl/render.py b/src/spatialdata_plot/pl/render.py
index 8a524011..b26596cb 100644
--- a/src/spatialdata_plot/pl/render.py
+++ b/src/spatialdata_plot/pl/render.py
@@ -17,6 +17,7 @@
 from multiscale_spatial_image.multiscale_spatial_image import MultiscaleSpatialImage
 from pandas.api.types import is_categorical_dtype
 from scanpy._settings import settings as sc_settings
+from spatialdata._core.data_extent import get_extent
 from spatialdata.models import (
     PointsModel,
 )
@@ -334,6 +335,7 @@ def _render_images(
 
     for e in elements:
         img = sdata.images[e]
+        extent = get_extent(img)
         # get best scale out of multiscale image
         if isinstance(img, MultiscaleSpatialImage):
             img = _multiscale_to_spatial_image(
@@ -351,6 +353,7 @@ def _render_images(
                 width=fig_params.fig.get_size_inches()[0],
                 height=fig_params.fig.get_size_inches()[1],
                 coordinate_system=coordinate_system,
+                extent=extent,
             )
 
         if render_params.channel is None:
@@ -526,6 +529,7 @@ def _render_labels(
 
     for e in elements:
         label = sdata_filt.labels[e]
+        extent = get_extent(label)
         # get best scale out of multiscale label
         if isinstance(label, MultiscaleSpatialImage):
             label = _multiscale_to_spatial_image(
@@ -544,6 +548,7 @@ def _render_labels(
                 width=fig_params.fig.get_size_inches()[0],
                 height=fig_params.fig.get_size_inches()[1],
                 coordinate_system=coordinate_system,
+                extent=extent,
             )
 
         if sdata.table is None:
diff --git a/src/spatialdata_plot/pl/utils.py b/src/spatialdata_plot/pl/utils.py
index 5b465628..18bd1693 100644
--- a/src/spatialdata_plot/pl/utils.py
+++ b/src/spatialdata_plot/pl/utils.py
@@ -1091,7 +1091,12 @@ def _get_valid_cs(
 
 
 def _rasterize_if_necessary(
-    image: SpatialImage, dpi: float, width: float, height: float, coordinate_system: str
+    image: SpatialImage,
+    dpi: float,
+    width: float,
+    height: float,
+    coordinate_system: str,
+    extent: dict[str, tuple[float, float]],
 ) -> SpatialImage:
     """Ensure fast rendering by adapting the resolution if necessary.
 
@@ -1109,6 +1114,9 @@ def _rasterize_if_necessary(
         Height (in inches) of the figure
     coordinate_system
         name of the coordinate system the image belongs to
+    extent
+        extent of the (full size) image. Must be a dict containing a tuple with min and
+        max extent for the keys "x" and "y".
 
     Returns
     -------
@@ -1135,7 +1143,12 @@ def _rasterize_if_necessary(
         # TODO: do we want min here?
         target_unit_to_pixels = min(target_y_dims / y_dims, target_x_dims / x_dims)
         image = rasterize(
-            image, ("y", "x"), [0, 0], [y_dims, x_dims], coordinate_system, target_unit_to_pixels=target_unit_to_pixels
+            image,
+            ("y", "x"),
+            [extent["y"][0], extent["x"][0]],
+            [extent["y"][1], extent["x"][1]],
+            coordinate_system,
+            target_unit_to_pixels=target_unit_to_pixels,
         )
         logging.info(
             f"Performed rasterization (with target_unit_to_pixels = {round(target_unit_to_pixels, 2)}) "
@@ -1215,4 +1228,6 @@ def _multiscale_to_spatial_image(
     data_var_keys = list(multiscale_image[optimal_scale].data_vars)
     image = multiscale_image[optimal_scale][data_var_keys[0]]
 
+    logging.info(f"Using scale {optimal_scale} from multi-scale image.")
+
     return Labels2DModel.parse(image) if is_label else Image2DModel.parse(image)

From 8f068c1f463bf8e2ab187519b1786ea7acdbf5d3 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Wed, 1 Nov 2023 11:44:33 +0100
Subject: [PATCH 27/31] fix cs bug

---
 src/spatialdata_plot/pl/render.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/spatialdata_plot/pl/render.py b/src/spatialdata_plot/pl/render.py
index b26596cb..b36928f2 100644
--- a/src/spatialdata_plot/pl/render.py
+++ b/src/spatialdata_plot/pl/render.py
@@ -335,7 +335,7 @@ def _render_images(
 
     for e in elements:
         img = sdata.images[e]
-        extent = get_extent(img)
+        extent = get_extent(img, coordinate_system=coordinate_system)
         # get best scale out of multiscale image
         if isinstance(img, MultiscaleSpatialImage):
             img = _multiscale_to_spatial_image(
@@ -529,7 +529,7 @@ def _render_labels(
 
     for e in elements:
         label = sdata_filt.labels[e]
-        extent = get_extent(label)
+        extent = get_extent(label, coordinate_system=coordinate_system)
         # get best scale out of multiscale label
         if isinstance(label, MultiscaleSpatialImage):
             label = _multiscale_to_spatial_image(

From 0c34012ebad2f9412223342c3afe7400e6b4b769 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Wed, 1 Nov 2023 13:39:59 +0100
Subject: [PATCH 28/31] update rasterization conditions

---
 src/spatialdata_plot/pl/basic.py | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/src/spatialdata_plot/pl/basic.py b/src/spatialdata_plot/pl/basic.py
index 71f65241..04e788ba 100644
--- a/src/spatialdata_plot/pl/basic.py
+++ b/src/spatialdata_plot/pl/basic.py
@@ -683,7 +683,9 @@ def show(
                     wanted_elements.extend(wanted_images_on_this_cs)
                     if len(wanted_images_on_this_cs) > 0:
                         do_rasterization = (params.scale is None) or (
-                            isinstance(params.scale, str) and params.scale != "full" and dpi is not None
+                            isinstance(params.scale, str)
+                            and params.scale != "full"
+                            and (dpi is not None or figsize is not None)
                         )
                         _render_images(
                             sdata=sdata,
@@ -756,7 +758,9 @@ def show(
                     wanted_elements.extend(wanted_labels_on_this_cs)
                     if len(wanted_labels_on_this_cs) > 0:
                         do_rasterization = (params.scale is None) or (
-                            isinstance(params.scale, str) and params.scale != "full" and dpi is not None
+                            isinstance(params.scale, str)
+                            and params.scale != "full"
+                            and (dpi is not None or figsize is not None)
                         )
                         _render_labels(
                             sdata=sdata,

From 1769615d582717235791298e40bf508ca937cf73 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Sun, 5 Nov 2023 19:57:17 +0100
Subject: [PATCH 29/31] match list of scales to elements

---
 src/spatialdata_plot/pl/basic.py         | 18 ++++++++++--------
 src/spatialdata_plot/pl/render.py        | 22 ++++++++++++++--------
 src/spatialdata_plot/pl/render_params.py |  4 ++--
 src/spatialdata_plot/pl/utils.py         |  5 ++++-
 4 files changed, 30 insertions(+), 19 deletions(-)

diff --git a/src/spatialdata_plot/pl/basic.py b/src/spatialdata_plot/pl/basic.py
index 04e788ba..3c11b411 100644
--- a/src/spatialdata_plot/pl/basic.py
+++ b/src/spatialdata_plot/pl/basic.py
@@ -319,7 +319,7 @@ def render_images(
         palette: str | list[str] | None = None,
         alpha: float = 1.0,
         quantiles_for_norm: tuple[float | None, float | None] = (None, None),
-        scale: str | None = None,
+        scale: str | list[str] | None = None,
         **kwargs: Any,
     ) -> sd.SpatialData:
         """
@@ -343,13 +343,14 @@ def render_images(
         quantiles_for_norm
             Tuple of (pmin, pmax) which will be used for quantile normalization.
         scale
-            Influences the resolution of the rendering. There are three possibilities for setting this parameter:
+            Influences the resolution of the rendering. Possibilities for setting this parameter:
                 1) None (default). The image is rasterized to fit the canvas size. For multiscale images, the best scale
                 is selected before the rasterization step.
                 2) Name of one of the scales in the multiscale image to be rendered. This scale is rendered as it is
                 (exception: a dpi is specified in `show()`. Then the image is rasterized to fit the canvas and dpi).
                 3) "full": render the full image without rasterization. In the case of a multiscale image, the scale
                 with the highest resolution is selected. This can lead to long computing times for large images!
+                4) List that is matched to the list of elements (can contain `None`, scale names or "full").
         kwargs
             Additional arguments to be passed to cmap and norm.
 
@@ -412,7 +413,7 @@ def render_labels(
         na_color: str | tuple[float, ...] | None = (0.0, 0.0, 0.0, 0.0),
         outline_alpha: float = 1.0,
         fill_alpha: float = 0.3,
-        scale: str | None = None,
+        scale: str | list[str] | None = None,
         **kwargs: Any,
     ) -> sd.SpatialData:
         """
@@ -446,13 +447,14 @@ def render_labels(
         alpha
             Alpha value for the labels.
         scale
-            Influences the resolution of the rendering. There are three possibilities for setting this parameter:
+            Influences the resolution of the rendering. Possibilities for setting this parameter:
                 1) None (default). The image is rasterized to fit the canvas size. For multiscale images, the best scale
                 is selected before the rasterization step.
                 2) Name of one of the scales in the multiscale image to be rendered. This scale is rendered as it is
                 (exception: a dpi is specified in `show()`. Then the image is rasterized to fit the canvas and dpi).
                 3) "full": render the full image without rasterization. In the case of a multiscale image, the scale
                 with the highest resolution is selected. This can lead to long computing times for large images!
+                4) List that is matched to the list of elements (can contain `None`, scale names or "full").
         kwargs
             Additional arguments to be passed to cmap and norm.
 
@@ -682,7 +684,7 @@ def show(
                     ]
                     wanted_elements.extend(wanted_images_on_this_cs)
                     if len(wanted_images_on_this_cs) > 0:
-                        do_rasterization = (params.scale is None) or (
+                        rasterize = (params.scale is None) or (
                             isinstance(params.scale, str)
                             and params.scale != "full"
                             and (dpi is not None or figsize is not None)
@@ -695,7 +697,7 @@ def show(
                             fig_params=fig_params,
                             scalebar_params=scalebar_params,
                             legend_params=legend_params,
-                            do_rasterization=do_rasterization,
+                            rasterize=rasterize,
                         )
 
                 elif cmd == "render_shapes" and has_shapes:
@@ -757,7 +759,7 @@ def show(
                     ]
                     wanted_elements.extend(wanted_labels_on_this_cs)
                     if len(wanted_labels_on_this_cs) > 0:
-                        do_rasterization = (params.scale is None) or (
+                        rasterize = (params.scale is None) or (
                             isinstance(params.scale, str)
                             and params.scale != "full"
                             and (dpi is not None or figsize is not None)
@@ -770,7 +772,7 @@ def show(
                             fig_params=fig_params,
                             scalebar_params=scalebar_params,
                             legend_params=legend_params,
-                            do_rasterization=do_rasterization,
+                            rasterize=rasterize,
                         )
 
                 if title is None:
diff --git a/src/spatialdata_plot/pl/render.py b/src/spatialdata_plot/pl/render.py
index b36928f2..03d95662 100644
--- a/src/spatialdata_plot/pl/render.py
+++ b/src/spatialdata_plot/pl/render.py
@@ -318,7 +318,7 @@ def _render_images(
     fig_params: FigParams,
     scalebar_params: ScalebarParams,
     legend_params: LegendParams,
-    do_rasterization: bool,
+    rasterize: bool,
 ) -> None:
     elements = render_params.elements
 
@@ -333,20 +333,23 @@ def _render_images(
     if elements is None:
         elements = list(sdata_filt.images.keys())
 
-    for e in elements:
+    for i, e in enumerate(elements):
         img = sdata.images[e]
         extent = get_extent(img, coordinate_system=coordinate_system)
+        scale = render_params.scale[i] if isinstance(render_params.scale, list) else render_params.scale
+
         # get best scale out of multiscale image
         if isinstance(img, MultiscaleSpatialImage):
             img = _multiscale_to_spatial_image(
                 multiscale_image=img,
+                element=e,
                 dpi=fig_params.fig.dpi,
                 width=fig_params.fig.get_size_inches()[0],
                 height=fig_params.fig.get_size_inches()[1],
-                scale=render_params.scale,
+                scale=scale,
             )
         # rasterize spatial image if necessary to speed up performance
-        if do_rasterization:
+        if rasterize:
             img = _rasterize_if_necessary(
                 image=img,
                 dpi=fig_params.fig.dpi,
@@ -507,7 +510,7 @@ def _render_labels(
     fig_params: FigParams,
     scalebar_params: ScalebarParams,
     legend_params: LegendParams,
-    do_rasterization: bool,
+    rasterize: bool,
 ) -> None:
     elements = render_params.elements
 
@@ -527,21 +530,24 @@ def _render_labels(
     if elements is None:
         elements = list(sdata_filt.labels.keys())
 
-    for e in elements:
+    for i, e in enumerate(elements):
         label = sdata_filt.labels[e]
         extent = get_extent(label, coordinate_system=coordinate_system)
+        scale = render_params.scale[i] if isinstance(render_params.scale, list) else render_params.scale
+
         # get best scale out of multiscale label
         if isinstance(label, MultiscaleSpatialImage):
             label = _multiscale_to_spatial_image(
                 multiscale_image=label,
+                element=e,
                 dpi=fig_params.fig.dpi,
                 width=fig_params.fig.get_size_inches()[0],
                 height=fig_params.fig.get_size_inches()[1],
-                scale=render_params.scale,
+                scale=scale,
                 is_label=True,
             )
         # rasterize spatial image if necessary to speed up performance
-        if do_rasterization:
+        if rasterize:
             label = _rasterize_if_necessary(
                 image=label,
                 dpi=fig_params.fig.dpi,
diff --git a/src/spatialdata_plot/pl/render_params.py b/src/spatialdata_plot/pl/render_params.py
index 0593f5cf..e82dfc22 100644
--- a/src/spatialdata_plot/pl/render_params.py
+++ b/src/spatialdata_plot/pl/render_params.py
@@ -106,7 +106,7 @@ class ImageRenderParams:
     palette: ListedColormap | str | None = None
     alpha: float = 1.0
     quantiles_for_norm: tuple[float | None, float | None] = (None, None)
-    scale: str | None = None
+    scale: str | list[str] | None = None
 
 
 @dataclass
@@ -124,4 +124,4 @@ class LabelsRenderParams:
     outline_alpha: float = 1.0
     fill_alpha: float = 0.4
     transfunc: Callable[[float], float] | None = None
-    scale: str | None = None
+    scale: str | list[str] | None = None
diff --git a/src/spatialdata_plot/pl/utils.py b/src/spatialdata_plot/pl/utils.py
index 18bd1693..41c56137 100644
--- a/src/spatialdata_plot/pl/utils.py
+++ b/src/spatialdata_plot/pl/utils.py
@@ -1160,6 +1160,7 @@ def _rasterize_if_necessary(
 
 def _multiscale_to_spatial_image(
     multiscale_image: MultiscaleSpatialImage,
+    element: str,
     dpi: float,
     width: float,
     height: float,
@@ -1175,6 +1176,8 @@ def _multiscale_to_spatial_image(
     ----------
     multiscale_image
         `MultiscaleSpatialImage` that should be rendered
+    element
+        name of the multiscale image
     dpi
         dpi of the target image
     width
@@ -1228,6 +1231,6 @@ def _multiscale_to_spatial_image(
     data_var_keys = list(multiscale_image[optimal_scale].data_vars)
     image = multiscale_image[optimal_scale][data_var_keys[0]]
 
-    logging.info(f"Using scale {optimal_scale} from multi-scale image.")
+    logging.info(f"Using scale '{optimal_scale}' from multi-scale image '{element}'.")
 
     return Labels2DModel.parse(image) if is_label else Image2DModel.parse(image)

From 914a60eda77f5fb95048d5d07e66984cc5d46248 Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Tue, 14 Nov 2023 20:53:43 +0100
Subject: [PATCH 30/31] dpi & figsize documentation update

---
 src/spatialdata_plot/pl/basic.py | 15 +++++++++++----
 1 file changed, 11 insertions(+), 4 deletions(-)

diff --git a/src/spatialdata_plot/pl/basic.py b/src/spatialdata_plot/pl/basic.py
index 3c11b411..8aa18061 100644
--- a/src/spatialdata_plot/pl/basic.py
+++ b/src/spatialdata_plot/pl/basic.py
@@ -525,15 +525,22 @@ def show(
 
         Parameters
         ----------
+        coordinate_systems :
+            Name(s) of the coordinate system(s) to be plotted. If None, all coordinate systems are plotted.
+            If a coordinate system doesn't contain any relevant elements (as specified in the render_* calls),
+            it is automatically not plotted.
+        figsize :
+            Size of the figure (width, height) in inches. The size of the actual canvas may deviate from this,
+            depending on the dpi! In matplotlib, the actual figure size (in pixels) is dpi * figsize.
+            If None, the default of matlotlib is used (6.4, 4.8)
+        dpi :
+            Resolution of the plot in dots per inch (as in matplotlib).
+            If None, the default of matplotlib is used (100.0).
         ax :
             Matplotlib axes object to plot on. If None, a new figure is created.
             Works only if there is one image in the SpatialData object.
         ncols :
             Number of columns in the figure. Default is 4.
-        width :
-            Width of each subplot. Default is 4.
-        height :
-            Height of each subplot. Default is 3.
 
         Returns
         -------

From 0fa93fa5ae97beaf5dac910e9bd25e716a7e2cad Mon Sep 17 00:00:00 2001
From: Sonja Stockhaus <stockhaus@cip.ifi.lmu.de>
Date: Sun, 19 Nov 2023 17:43:37 +0100
Subject: [PATCH 31/31] remove logging.info

---
 src/spatialdata_plot/pl/utils.py | 6 ------
 1 file changed, 6 deletions(-)

diff --git a/src/spatialdata_plot/pl/utils.py b/src/spatialdata_plot/pl/utils.py
index 41c56137..60e84c1e 100644
--- a/src/spatialdata_plot/pl/utils.py
+++ b/src/spatialdata_plot/pl/utils.py
@@ -1150,10 +1150,6 @@ def _rasterize_if_necessary(
             coordinate_system,
             target_unit_to_pixels=target_unit_to_pixels,
         )
-        logging.info(
-            f"Performed rasterization (with target_unit_to_pixels = {round(target_unit_to_pixels, 2)}) "
-            "to improve performance."
-        )
 
     return image
 
@@ -1231,6 +1227,4 @@ def _multiscale_to_spatial_image(
     data_var_keys = list(multiscale_image[optimal_scale].data_vars)
     image = multiscale_image[optimal_scale][data_var_keys[0]]
 
-    logging.info(f"Using scale '{optimal_scale}' from multi-scale image '{element}'.")
-
     return Labels2DModel.parse(image) if is_label else Image2DModel.parse(image)