Merge pull request #33 from OmooLab/feature/dev

chore: update version

README.md

@@ -2,29 +2,33 @@
 
 # Bioxel Nodes
 
-![Static Badge](https://img.shields.io/badge/Blender-orange?style=for-the-badge&logo=blender&logoColor=white)
-![GitHub License](https://img.shields.io/github/license/OmooLab/BioxelNodes?style=for-the-badge)
-![GitHub Release](https://img.shields.io/github/v/release/OmooLab/BioxelNodes?style=for-the-badge)
-![GitHub Repo stars](https://img.shields.io/github/stars/OmooLab/BioxelNodes?style=for-the-badge)
+[![For Blender](https://img.shields.io/badge/Blender-orange?style=for-the-badge&logo=blender&logoColor=white&color=black)](https://blender.org/)
+![GitHub License](https://img.shields.io/github/license/OmooLab/BioxelNodes?style=for-the-badge&labelColor=black)
+![GitHub Release](https://img.shields.io/github/v/release/OmooLab/BioxelNodes?style=for-the-badge&labelColor=black)
+![GitHub Repo stars](https://img.shields.io/github/stars/OmooLab/BioxelNodes?style=for-the-badge&labelColor=black)
+
+[![Discord](https://img.shields.io/discord/1265129134397587457?style=for-the-badge&logo=discord&label=Discord&labelColor=white&color=black)](https://discord.gg/pYkNyq2TjE)
 
 Bioxel Nodes is a Blender addon for scientific volumetric data visualization. It using Blender's powerful **Geometry Nodes** and **Cycles** to process and render volumetric data.
 
 ![cover](https://omoolab.github.io/BioxelNodes/latest/assets/cover.png)
 
--   Fantastic rendering result, also support EEVEE NEXT
--   Support multiple formats
--   Support 4D volumetric data
--   All kinds of cutters
--   Simple and powerful nodes
+-   Fantastic rendering result, also support EEVEE NEXT.
+-   Support multiple formats.
+-   Support 4D volumetric data.
+-   All kinds of cutters.
+-   Simple and powerful nodes.
 -   Based on blender natively, can work without addon.
 
-**Click [Getting Started](https://omoolab.github.io/BioxelNodes/latest/installation) to begin your journey into visualizing volumetric data!**
+**Read the [getting started](https://omoolab.github.io/BioxelNodes/latest/installation) to begin your journey into visualizing volumetric data!**
+
+Welcome to our [discord server](https://discord.gg/pYkNyq2TjE), if you have any problems with this add-on.
 
 ## Support Multiple Formats
 
 | Format | EXT                                      | Test    |
 | ------ | ---------------------------------------- | ------- |
-| DICOM  | .dcm, .DICOM                             | ✅ pass |
+| DICOM  | .dcm, .DCM, .DICOM, .ima, .IMA           | ✅ pass |
 | BMP    | .bmp, .BMP                               | ✅ pass |
 | JPEG   | .jpg, .JPG, .jpeg, .JPEG                 | ✅ pass |
 | PNG    | .png, .PNG                               | ✅ pass |
@@ -32,6 +36,8 @@ Bioxel Nodes is a Blender addon for scientific volumetric data visualization. It
 | Nifti  | .nia, .nii, .nii.gz, .hdr, .img, .img.gz | ✅ pass |
 | Nrrd   | .nrrd, .nhdr                             | ✅ pass |
 | HDF5   | .hdf, .h4, .hdf4, .he2, .h5, .hdf5, .he5 | ✅ pass |
+| OME    | .ome.tiff, .ome.tif                      | ✅ pass |
+| MRC    | .mrc, .mrc.gz, .map, .map.gz             | ✅ pass |
 
 ## Support 4D volumetric data
 
@@ -53,7 +59,7 @@ Bioxel Nodes is a Blender addon for scientific volumetric data visualization. It
 -   Only works with Cycles CPU , Cycles GPU (OptiX), EEVEE
 -   Section surface cannot be generated when convert to mesh (will be supported soon)
 
-## Compatibile to Newer Version
+## Compatible to Newer Version
 
 **Updating this addon may break old files, so read the following carefully before updating**
 

bioxelnodes/__init__.py

@@ -9,7 +9,7 @@ bl_info = {
     "author": "Ma Nan",
     "description": "",
     "blender": (4, 1, 0),
-    "version": (0, 2, 8),
+    "version": (0, 2, 9),
     "location": "File -> Import",
     "warning": "",
     "category": "Node"

bioxelnodes/io.py

@@ -175,6 +175,9 @@ class ParseVolumetricData(bpy.types.Operator):
                                                      progress_callback=progress_callback)
             except CancelledByUser:
                 return
+            except RuntimeError:
+                self.has_error = True
+                return
 
             if cancel():
                 return
@@ -183,6 +186,8 @@ class ParseVolumetricData(bpy.types.Operator):
 
         # Init cancel flag
         self.is_cancelled = False
+        self.has_error = False
+
         # Create the thread
         self.thread = threading.Thread(target=parse_volumetric_data_func,
                                        args=(self, context, lambda: self.is_cancelled))
@@ -229,6 +234,11 @@ class ParseVolumetricData(bpy.types.Operator):
             self.report({"WARNING"}, "Canncelled by user.")
             return {'CANCELLED'}
 
+        # Check if thread is cancelled by user
+        if self.has_error:
+            self.report({"ERROR"}, "Fail to parse, something went wrong.")
+            return {'CANCELLED'}
+
         # If not canncelled...
         for key, value in self.meta.items():
             print(f"{key}: {value}")
@@ -239,9 +249,12 @@ class ParseVolumetricData(bpy.types.Operator):
                        orig_spacing[1], orig_spacing[2])
         bioxel_size = max(min_size, 1.0)
 
-        layer_size = get_layer_size(orig_shape,
+        layer_shape = get_layer_shape(1, orig_shape, orig_spacing)
+        layer_size = get_layer_size(layer_shape,
                                     bioxel_size)
         log10 = math.floor(math.log10(max(*layer_size)))
+        log10 = max(1,log10)
+        log10 = min(3,log10)
         scene_scale = math.pow(10, -log10)
 
         if self.container:
@@ -700,6 +713,7 @@ class ImportVolumetricDataDialog(bpy.types.Operator):
 
             container.matrix_world = mat_ras2blender @ mat_scene_scale
             container.name = container_name
+            container.show_in_front = True
             container.data.name = container_name
 
             container['bioxel_container'] = True
@@ -741,8 +755,8 @@ class ImportVolumetricDataDialog(bpy.types.Operator):
             layer.hide_select = True
             layer.hide_render = True
             layer.hide_viewport = True
-            layer.data.display.use_slice = True
-            layer.data.display.density = 1e-05
+            # layer.data.display.use_slice = True
+            # layer.data.display.density = 1e-05
 
             layer['bioxel_layer'] = True
             layer['bioxel_layer_type'] = layer_info['type']
@@ -811,11 +825,8 @@ class ImportVolumetricDataDialog(bpy.types.Operator):
 
         # Change render setting for better result
         preferences = context.preferences.addons[__package__].preferences
-
         if preferences.do_change_render_setting and self.is_first_import:
-            if bpy.app.version < (4, 2, 0):
-                bpy.context.scene.render.engine = 'CYCLES'
-
+            bpy.context.scene.render.engine = 'CYCLES'
             try:
                 bpy.context.scene.cycles.shading_system = True
                 bpy.context.scene.cycles.volume_bounces = 12

bioxelnodes/operators.py

@@ -89,8 +89,8 @@ def deep_copy_layer(vdb_path, base_layer, name):
     copyed_layer.hide_select = True
     copyed_layer.hide_render = True
     copyed_layer.hide_viewport = True
-    copyed_layer.data.display.use_slice = True
-    copyed_layer.data.display.density = 1e-05
+    # copyed_layer.data.display.use_slice = True
+    # copyed_layer.data.display.density = 1e-05
 
     copyed_layer['bioxel_layer'] = True
     copyed_layer['bioxel_layer_type'] = base_layer['bioxel_layer_type']

bioxelnodes/parse.py

@@ -11,6 +11,9 @@ try:
 except:
     ...
 
+"""
+Convert any volumetric data to 3D numpy array with order TXYZC
+"""
 
 SUPPORT_EXTS = ['', '.dcm', '.DCM', '.DICOM', '.ima', '.IMA',
                 '.bmp', '.BMP',
@@ -40,7 +43,7 @@ SEQUENCE_EXTS = ['.bmp', '.BMP',
                  '.tif', '.TIF', '.tiff', '.TIFF',
                  '.png', '.PNG']
 
-DICOM_EXTS = ['', '.dcm', '.DCM', '.DICOM']
+DICOM_EXTS = ['', '.dcm', '.DCM', '.DICOM', '.ima', '.IMA']
 
 FH_EXTS = ['', '.dcm', '.DCM', '.DICOM', '.ima', '.IMA',
            '.gipl', '.gipl.gz',
@@ -136,7 +139,11 @@ def parse_volumetric_data(filepath: str, series_id="", progress_callback=None):
         if len(sequence) > 1:
             is_sequence = True
 
-    if ext in MRC_EXTS and not is_sequence:
+    volume = None
+
+    # Parsing with mrcfile
+    if volume is None and ext in MRC_EXTS and not is_sequence:
+        print("Parsing with mrcfile...")
         # TODO: much to do with mrc
         with mrcfile.open(filepath) as mrc:
             volume = mrc.data
@@ -159,10 +166,10 @@ def parse_volumetric_data(filepath: str, series_id="", progress_callback=None):
 
             elif mrc.is_volume_stack():
                 volume = np.expand_dims(volume, axis=-1)  # expend channel
-
             name = Path(filepath).name.removesuffix(ext).replace(" ", "-")
             shape = volume.shape[1:4]
             spacing = (mrc.voxel_size.x, mrc.voxel_size.y, mrc.voxel_size.z)
+
             meta = {
                 "name": name,
                 "description": "",
@@ -175,7 +182,9 @@ def parse_volumetric_data(filepath: str, series_id="", progress_callback=None):
                 "is_oriented": False
             }
 
-    elif ext in OME_EXTS and not is_sequence:
+    # Parsing with OMETIFFReader
+    if volume is None and ext in OME_EXTS and not is_sequence:
+        print("Parsing with OMETIFFReader...")
         reader = OMETIFFReader(fpath=filepath)
         ome_volume, metadata, xml_metadata = reader.read()
 
@@ -189,69 +198,70 @@ def parse_volumetric_data(filepath: str, series_id="", progress_callback=None):
             # for key in metadata:
             #     print(f"{key},{metadata[key]}")
             ome_order = metadata['DimOrder BF Array']
+            if ome_volume.ndim == 2:
+                ome_order = ome_order.replace("T", "")\
+                    .replace("C", "").replace("Z", "")
+                bioxel_order = (ome_order.index('X'),
+                                ome_order.index('Y'))
+                volume = np.transpose(ome_volume, bioxel_order)
+                volume = np.expand_dims(volume, axis=0)  # expend frame
+                volume = np.expand_dims(volume, axis=-1)  # expend Z
+                volume = np.expand_dims(volume, axis=-1)  # expend channel
+
+            elif ome_volume.ndim == 3:
+                # -> XYZC
+                ome_order = ome_order.replace("T", "").replace("C", "")
+                bioxel_order = (ome_order.index('X'),
+                                ome_order.index('Y'),
+                                ome_order.index('Z'))
+                volume = np.transpose(ome_volume, bioxel_order)
+                volume = np.expand_dims(volume, axis=0)  # expend frame
+                volume = np.expand_dims(volume, axis=-1)  # expend channel
+            elif ome_volume.ndim == 4:
+                # -> XYZC
+                ome_order = ome_order.replace("T", "")
+                bioxel_order = (ome_order.index('X'),
+                                ome_order.index('Y'),
+                                ome_order.index('Z'),
+                                ome_order.index('C'))
+                volume = np.transpose(ome_volume, bioxel_order)
+                volume = np.expand_dims(volume, axis=0)  # expend frame
+            elif ome_volume.ndim == 5:
+                # -> TXYZC
+                bioxel_order = (ome_order.index('T'),
+                                ome_order.index('X'),
+                                ome_order.index('Y'),
+                                ome_order.index('Z'),
+                                ome_order.index('C'))
+                volume = np.transpose(ome_volume, bioxel_order)
+
+            shape = volume.shape[1:4]
+
+            try:
+                spacing = (metadata['PhysicalSizeX'],
+                           metadata['PhysicalSizeY'],
+                           metadata['PhysicalSizeZ'])
+            except:
+                spacing = (1, 1, 1)
+
+            name = Path(filepath).name.removesuffix(ext).replace(" ", "-")
+            meta = {
+                "name": name,
+                "description": "",
+                "shape": shape,
+                "spacing": spacing,
+                "origin": (0, 0, 0),
+                "direction": (1, 0, 0, 0, 1, 0, 0, 0, 1),
+                "frame_count": volume.shape[0],
+                "channel_count": volume.shape[-1],
+                "is_oriented": False
+            }
         except:
-            ome_order = "TCZYX"
+            ...
 
-        if ome_volume.ndim == 2:
-            ome_order = ome_order.replace("T", "")\
-                .replace("C", "").replace("Z", "")
-            bioxel_order = (ome_order.index('X'),
-                            ome_order.index('Y'))
-            volume = np.transpose(ome_volume, bioxel_order)
-            volume = np.expand_dims(volume, axis=0)  # expend frame
-            volume = np.expand_dims(volume, axis=-1)  # expend Z
-            volume = np.expand_dims(volume, axis=-1)  # expend channel
-
-        elif ome_volume.ndim == 3:
-            # -> XYZC
-            ome_order = ome_order.replace("T", "").replace("C", "")
-            bioxel_order = (ome_order.index('X'),
-                            ome_order.index('Y'),
-                            ome_order.index('Z'))
-            volume = np.transpose(ome_volume, bioxel_order)
-            volume = np.expand_dims(volume, axis=0)  # expend frame
-            volume = np.expand_dims(volume, axis=-1)  # expend channel
-        elif ome_volume.ndim == 4:
-            # -> XYZC
-            ome_order = ome_order.replace("T", "")
-            bioxel_order = (ome_order.index('X'),
-                            ome_order.index('Y'),
-                            ome_order.index('Z'),
-                            ome_order.index('C'))
-            volume = np.transpose(ome_volume, bioxel_order)
-            volume = np.expand_dims(volume, axis=0)  # expend frame
-        elif ome_volume.ndim == 5:
-            # -> TXYZC
-            bioxel_order = (ome_order.index('T'),
-                            ome_order.index('X'),
-                            ome_order.index('Y'),
-                            ome_order.index('Z'),
-                            ome_order.index('C'))
-            volume = np.transpose(ome_volume, bioxel_order)
-
-        shape = volume.shape[1:4]
-
-        try:
-            spacing = (metadata['PhysicalSizeX'],
-                       metadata['PhysicalSizeY'],
-                       metadata['PhysicalSizeZ'])
-        except:
-            spacing = (1, 1, 1)
-
-        name = Path(filepath).name.removesuffix(ext).replace(" ", "-")
-        meta = {
-            "name": name,
-            "description": "",
-            "shape": shape,
-            "spacing": spacing,
-            "origin": (0, 0, 0),
-            "direction": (1, 0, 0, 0, 1, 0, 0, 0, 1),
-            "frame_count": volume.shape[0],
-            "channel_count": volume.shape[-1],
-            "is_oriented": False
-        }
-
-    else:
+    # Parsing with SimpleITK
+    if volume is None:
+        print("Parsing with SimpleITK...")
         if ext in DICOM_EXTS:
             dir_path = Path(filepath).resolve().parent
             reader = sitk.ImageSeriesReader()
@@ -294,10 +304,13 @@ def parse_volumetric_data(filepath: str, series_id="", progress_callback=None):
             name = name.replace(" ", "-")
             description = description.replace(" ", "-")
 
-        elif ext in SEQUENCE_EXTS:
-            itk_volume = sitk.ReadImage(sequence)
-            name = get_sequence_name(filepath).replace(" ", "-")
-            description = ""
+        elif ext in SEQUENCE_EXTS and is_sequence:
+            try:
+                itk_volume = sitk.ReadImage(sequence)
+                name = get_sequence_name(filepath).replace(" ", "-")
+                description = ""
+            except RuntimeError as e:
+                raise e
         else:
             itk_volume = sitk.ReadImage(filepath)
             name = Path(filepath).name.removesuffix(ext).replace(" ", "-")
@@ -311,7 +324,33 @@ def parse_volumetric_data(filepath: str, series_id="", progress_callback=None):
             if not progressing:
                 raise CancelledByUser
 
-        if itk_volume.GetDimension() == 3:
+        if itk_volume.GetDimension() == 2:
+            volume = sitk.GetArrayFromImage(itk_volume)
+
+            if volume.ndim == 3:
+                volume = np.transpose(volume, (1, 0, 2))
+
+                volume = np.expand_dims(volume, axis=-2)  # expend Z
+            else:
+                volume = np.transpose(volume)
+                volume = np.expand_dims(volume, axis=-1)  # expend Z
+                volume = np.expand_dims(volume, axis=-1)  # expend channel
+
+            volume = np.expand_dims(volume, axis=0)  # expend frame
+
+            meta = {
+                "name": name,
+                "description": description,
+                "shape": volume.shape[1:4],
+                "spacing": (1, 1, 1),
+                "origin": (0, 0, 0),
+                "direction": (1, 0, 0, 0, 1, 0, 0, 0, 1),
+                "frame_count": 1,
+                "channel_count": volume.shape[-1],
+                "is_oriented": False
+            }
+
+        elif itk_volume.GetDimension() == 3:
             itk_volume = sitk.DICOMOrient(itk_volume, 'RAS')
 
             volume = sitk.GetArrayFromImage(itk_volume)
@@ -332,12 +371,12 @@ def parse_volumetric_data(filepath: str, series_id="", progress_callback=None):
                 "spacing": tuple(itk_volume.GetSpacing()),
                 "origin": tuple(itk_volume.GetOrigin()),
                 "direction": tuple(itk_volume.GetDirection()),
-                "frame_count": volume.shape[0],
+                "frame_count": 1,
                 "channel_count": volume.shape[-1],
                 "is_oriented": True
             }
 
-        if itk_volume.GetDimension() == 4:
+        elif itk_volume.GetDimension() == 4:
             # FIXME: not sure...
             direction = np.array(itk_volume.GetDirection())
             direction = direction.reshape(3, 3) if itk_volume.GetDimension() == 3 \

docs/index.md

@@ -1,23 +1,34 @@
+[中文文档](https://uj6xfhbzp0.feishu.cn/wiki/Qx3VwHuNPimeI8kr6nDcvl1DnHf?from=from_copylink)
+
 # Bioxel Nodes
 
+[![For Blender](https://img.shields.io/badge/Blender-orange?style=for-the-badge&logo=blender&logoColor=white&color=black)](https://blender.org/)
+![GitHub License](https://img.shields.io/github/license/OmooLab/BioxelNodes?style=for-the-badge&labelColor=black)
+![GitHub Release](https://img.shields.io/github/v/release/OmooLab/BioxelNodes?style=for-the-badge&labelColor=black)
+![GitHub Repo stars](https://img.shields.io/github/stars/OmooLab/BioxelNodes?style=for-the-badge&labelColor=black)
+
+[![Discord](https://img.shields.io/discord/1265129134397587457?style=for-the-badge&logo=discord&label=Discord&labelColor=white&color=black)](https://discord.gg/pYkNyq2TjE)
+
 Bioxel Nodes is a Blender addon for scientific volumetric data visualization. It using Blender's powerful **Geometry Nodes** and **Cycles** to process and render volumetric data.
 
-![cover](assets/cover.png)
+![cover](https://omoolab.github.io/BioxelNodes/latest/assets/cover.png)
 
--   Fantastic rendering result, also support EEVEE NEXT
--   Support multiple formats
--   Support 4D volumetric data
--   All kinds of cutters
--   Simple and powerful nodes
+-   Fantastic rendering result, also support EEVEE NEXT.
+-   Support multiple formats.
+-   Support 4D volumetric data.
+-   All kinds of cutters.
+-   Simple and powerful nodes.
 -   Based on blender natively, can work without addon.
 
-**Click [Getting Started](https://omoolab.github.io/BioxelNodes/latest/installation) to begin your journey into visualizing volumetric data!**
+**Read the [getting started](https://omoolab.github.io/BioxelNodes/latest/installation) to begin your journey into visualizing volumetric data!**
+
+Welcome to our [discord server](https://discord.gg/pYkNyq2TjE), if you have any problems with this add-on.
 
 ## Support Multiple Formats
 
 | Format | EXT                                      | Test    |
 | ------ | ---------------------------------------- | ------- |
-| DICOM  | .dcm, .DICOM                             | ✅ pass |
+| DICOM  | .dcm, .DCM, .DICOM, .ima, .IMA           | ✅ pass |
 | BMP    | .bmp, .BMP                               | ✅ pass |
 | JPEG   | .jpg, .JPG, .jpeg, .JPEG                 | ✅ pass |
 | PNG    | .png, .PNG                               | ✅ pass |
@@ -25,6 +36,8 @@ Bioxel Nodes is a Blender addon for scientific volumetric data visualization. It
 | Nifti  | .nia, .nii, .nii.gz, .hdr, .img, .img.gz | ✅ pass |
 | Nrrd   | .nrrd, .nhdr                             | ✅ pass |
 | HDF5   | .hdf, .h4, .hdf4, .he2, .h5, .hdf5, .he5 | ✅ pass |
+| OME    | .ome.tiff, .ome.tif                      | ✅ pass |
+| MRC    | .mrc, .mrc.gz, .map, .map.gz             | ✅ pass |
 
 ## Support 4D volumetric data
 
@@ -46,7 +59,7 @@ Bioxel Nodes is a Blender addon for scientific volumetric data visualization. It
 -   Only works with Cycles CPU , Cycles GPU (OptiX), EEVEE
 -   Section surface cannot be generated when convert to mesh (will be supported soon)
 
-## Compatibile to Newer Version
+## Compatible to Newer Version
 
 **Updating this addon may break old files, so read the following carefully before updating**
 
@@ -57,6 +70,7 @@ After the addon update, your old project files may not work either, this may be
 Also, unlike the newer versions, the older shaders are not based on OSL, so if you find that you can't render volumes, you need to turn on **Open Shading Language (OSL)** in the Render Settings.
 
 ## Roadmap
-- Better multi-format import experience
-- One-click bake model with texture
-- AI Segmentation to Generate Labels
+
+-   Better multi-format import experience
+-   One-click bake model with texture
+-   AI Segmentation to Generate Labels

docs/prepare_data.md

@@ -6,7 +6,7 @@ First thing first, you need to get your volumetric data ready in disk. Bioxel No
 
 | Format | EXT                                      | Test    |
 | ------ | ---------------------------------------- | ------- |
-| DICOM  | .dcm, .DICOM                             | ✅ pass |
+| DICOM  | .dcm, .DCM, .DICOM, .ima, .IMA           | ✅ pass |
 | BMP    | .bmp, .BMP                               | ✅ pass |
 | JPEG   | .jpg, .JPG, .jpeg, .JPEG                 | ✅ pass |
 | PNG    | .png, .PNG                               | ✅ pass |
@@ -21,6 +21,8 @@ First thing first, you need to get your volumetric data ready in disk. Bioxel No
 | LSM    | .lsm, .LSM                               | yet     |
 | MINC   | .mnc, .MNC                               | yet     |
 | MRC    | .mrc, .rec                               | yet     |
+| OME    | .ome.tiff, .ome.tif                      | ✅ pass |
+| MRC    | .mrc, .mrc.gz, .map, .map.gz             | ✅ pass |
 
 ## Download Data from Internet
 
@@ -32,10 +34,12 @@ If you don't have any volumetric data, you can access open research data from li
 | ------------------------------------------------------------------------------------ | ------------------ |
 | [MorphoSource](https://www.morphosource.org/)                                        | Open Research Data |
 | [Dryad](https://datadryad.org)                                                       | Open Research Data |
+| [Cell Image Library](http://cellimagelibrary.org/home)                               | Cells              |
 | [OpenOrganelle](https://openorganelle.janelia.org/datasets)                          | Cells              |
+| [Allen Cell Explorer](https://www.allencell.org/3d-cell-viewer.html)                 | Cells              |
+| [EMDB](https://www.ebi.ac.uk/emdb/)                                                  | Protein, Viruses   |
 | [Embodi3D](https://www.embodi3d.com/files/category/37-medical-scans/)                | Medical Images     |
 | [Github](https://github.com/sfikas/medical-imaging-datasets)                         | Medical Images     |
 | [NIHR](https://nhsx.github.io/open-source-imaging-data-sets/)                        | Medical Images     |
 | [Medical Segmentation Decathlon](http://medicaldecathlon.com/)                       | Medical Images     |
-| [Allen Cell Explorer](https://www.allencell.org/3d-cell-viewer.html)                 | Cells              |
 | [Visible Human Project](https://www.nlm.nih.gov/research/visible/visible_human.html) | Medical Images     |

extension/blender_manifest.toml

@@ -3,7 +3,7 @@ schema_version = "1.0.0"
 # Example of manifest file for a Blender extension
 # Change the values according to your extension
 id = "bioxelnodes"
-version = "0.2.8"
+version = "0.2.9"
 name = "Bioxel Nodes"
 tagline = "For scientific volumetric data visualization in Blender"
 maintainer = "Ma Nan <icrdr2010@outlook.com>"

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "bioxelnodes"
-version = "0.2.8"
+version = "0.2.9"
 description = ""
 authors = ["Ma Nan <icrdr2010@outlook.com>"]
 license = "MIT"