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5.0 (#60)

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* feat: Add Bioxel asset catalog and layer management functionality

- Introduced a new asset catalog definition file for Blender to manage Bioxel assets.
- Implemented layer caching and snapshot functionality in `layer.py`, allowing for VDB file generation and low-resolution snapshots.
- Created node management functions in `node.py` for handling Bioxel nodes within Blender's Geometry Node Editor.
- Added an operator to extract mesh data from selected nodes in `structure.py`.
- Developed UI panels in `panels.py` for layer management, including import options and layer library display.

* Add unit tests for bioxel module and documentation

- Created README.md for test instructions and categories.
- Implemented comprehensive unit tests for the Data, Layer, and utility functions in the bioxel module.
- Added tests for reading NRRD and DICOM formats, data properties, and edge cases.
- Included tests for real data files to ensure functionality with actual datasets.

* feat: Update .gitattributes and .gitignore for improved asset management and ignore patterns

chore: Add app.json and omoolab.css for Obsidian integration

refactor: Clean up AGENTS.md and remove outdated test files

* feat: Update .gitignore to include scipy_ndimage directory

* feat: Update release workflow and manifest for improved dependency management and layer handling

* feat: Update .gitignore and add binary files for scipy_ndimage across multiple platforms

* feat: Add OPSX commands for archiving, exploring, and proposing changes

* feat: Refactor asset library management and update manifest for improved organization

* feat: Downgrade h5py version to 3.14.0 in requirements and manifest

* feat: Update Help operator and panel labels to use English terminology

* Translate documentation to Chinese, add support format details, and enhance styling with new fonts. Update mkdocs configuration for multilingual support and improve package dependencies.

* feat: Remove default version setting from extra configuration in mkdocs.yml

* fix: Update documentation links to point to the correct URLs for Chinese and English versions

* Add documentation for basic usage, supported formats, and performance tips

- Created English and Chinese documentation for basic usage of the add-on, including data download, import, extraction, and rendering steps.
- Added support format documentation listing compatible file types for the add-on.
- Included links to open databases for volumetric data.
- Provided performance improvement tips for voxel reconstruction and rendering, including settings for low-resolution previews and balanced rendering configurations.
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2026-05-26 16:01:29 +08:00
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# 支持的格式
迫不及待想使用自己的数据来体验插件了？以下是当前支持的格式列表。
| 格式 | 扩展名 |
| ------ | ---------------------------------------- |
| DICOM | .dcm, .DCM, .DICOM, .ima, .IMA |
| BMP | .bmp, .BMP |
| JPEG | .jpg, .JPG, .jpeg, .JPEG |
| PNG | .png, .PNG |
| TIFF | .tif, .TIF, .tiff, .TIFF |
| Nifti | .nia, .nii, .nii.gz, .hdr, .img, .img.gz |
| Nrrd | .nrrd, .nhdr |
| HDF5 | .hdf, .h4, .hdf4, .he2, .h5, .hdf5, .he5 |
| OME | .ome.tiff, .ome.tif |
| MRC | .mrc, .mrc.gz, .map, .map.gz |
尽管我尽了最大努力，仍然无法实现对所有体数据格式的完美支持，我将持续努力改进。
## 公开数据库
如果您没有体数据，可以从一些公开数据库下载。
**请注意，虽然它们是公开的且可供下载，但并不意味着您可以将其用于任何目的！请务必查看网站上的可用范围说明。**
| 来源 | 对象 |
| ------------------------------------------------------------------------------------ | ------------------ |
| [MorphoSource](https://www.morphosource.org/) | 开放研究数据 |
| [Dryad](https://datadryad.org) | 开放研究数据 |
| [Cell Image Library](http://cellimagelibrary.org/home) | 细胞 |
| [OpenOrganelle](https://openorganelle.janelia.org/datasets) | 细胞 |
| [Allen Cell Explorer](https://www.allencell.org/3d-cell-viewer.html) | 细胞 |
| [EMDB](https://www.ebi.ac.uk/emdb/) | 蛋白质、病毒 |
| [IDC](https://portal.imaging.datacommons.cancer.gov/explore/) | 医学图像 |
| [Embodi3D](https://www.embodi3d.com/files/category/37-medical-scans/) | 医学图像 |
| [Github](https://github.com/sfikas/medical-imaging-datasets) | 医学图像 |
| [NIHR](https://nhsx.github.io/open-source-imaging-data-sets/) | 医学图像 |
| [Medical Segmentation Decathlon](http://medicaldecathlon.com/) | 医学图像 |
| [Visible Human Project](https://www.nih.gov/research/visible/visible_human.html) | 医学图像 |