--- license: cc-by-4.0 task_categories: - image-segmentation tags: - medical-imaging - electron-microscopy - FIB-SEM - 3D-segmentation - mitochondria - organelle-segmentation size_categories: - n<1K --- # UroCell FIB-SEM Dataset ## Dataset Description UroCell is a 3D electron microscopy dataset acquired using Focused Ion Beam Scanning Electron Microscopy (FIB-SEM) for segmentation of subcellular organelles in urothelial cells. ### Imaging Modality - **Modality**: FIB-SEM (Focused Ion Beam Scanning Electron Microscopy) - **Resolution**: ~16nm × 16nm × 15nm (nearly isotropic) - **Volume Size**: 256 × 256 × 256 voxels per volume ### Data Contents | Folder | Description | Files | |--------|-------------|-------| | `data/` | Raw FIB-SEM volumes | 8 NIfTI files | | `mito/binary/` | Binary mitochondria masks | 5 NIfTI files | | `mito/instance/` | Instance mitochondria masks | 5 NIfTI files | | `mito/branched/` | Branched mitochondria annotations | 5 NIfTI files | | `mito/contacting/` | Contacting mitochondria annotations | 5 NIfTI files | | `mito/mesh/` | 3D mesh reconstructions | OBJ files | | `lyso/binary/` | Binary endolysosome masks | 5 NIfTI files | | `lyso/mesh/` | 3D mesh reconstructions | OBJ files | | `golgi/` | Golgi apparatus annotations | NIfTI + OBJ files | | `fv/` | Fusiform vesicles annotations | OBJ mesh files | ### Annotated Volumes 5 of 8 volumes have segmentation annotations: - fib1-0-0-0 - fib1-1-0-3 - fib1-3-2-1 - fib1-3-3-0 - fib1-4-3-0 ### File Format - **Volumes & Masks**: NIfTI format (`.nii.gz`) - **3D Meshes**: Wavefront OBJ format (`.obj`) ## Usage ```python from huggingface_hub import hf_hub_download import nibabel as nib # Download a volume volume_path = hf_hub_download( repo_id="Angelou0516/UroCell", filename="data/fib1-0-0-0.nii.gz", repo_type="dataset" ) # Load with nibabel volume = nib.load(volume_path).get_fdata() print(f"Volume shape: {volume.shape}") # (256, 256, 256) ``` ## Citation If you use this dataset, please cite: ```bibtex @article{urocell2024, title={UroCell: A FIB-SEM Dataset for 3D Organelle Segmentation}, author={MancaZeworksLabs}, year={2024}, url={https://github.com/MancaZeworksLabs/UroCell} } ``` ## License This dataset is released under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license. ## Source Original repository: https://github.com/MancaZeworksLabs/UroCell