Datasets:
Tasks:
Image Segmentation
Formats:
imagefolder
Size:
< 1K
Tags:
medical-imaging
electron-microscopy
FIB-SEM
3D-segmentation
mitochondria
organelle-segmentation
License:
Upload README.md with huggingface_hub
Browse files
README.md
ADDED
|
@@ -0,0 +1,92 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc-by-4.0
|
| 3 |
+
task_categories:
|
| 4 |
+
- image-segmentation
|
| 5 |
+
tags:
|
| 6 |
+
- medical-imaging
|
| 7 |
+
- electron-microscopy
|
| 8 |
+
- FIB-SEM
|
| 9 |
+
- 3D-segmentation
|
| 10 |
+
- mitochondria
|
| 11 |
+
- organelle-segmentation
|
| 12 |
+
size_categories:
|
| 13 |
+
- n<1K
|
| 14 |
+
---
|
| 15 |
+
|
| 16 |
+
# UroCell FIB-SEM Dataset
|
| 17 |
+
|
| 18 |
+
## Dataset Description
|
| 19 |
+
|
| 20 |
+
UroCell is a 3D electron microscopy dataset acquired using Focused Ion Beam Scanning Electron Microscopy (FIB-SEM)
|
| 21 |
+
for segmentation of subcellular organelles in urothelial cells.
|
| 22 |
+
|
| 23 |
+
### Imaging Modality
|
| 24 |
+
- **Modality**: FIB-SEM (Focused Ion Beam Scanning Electron Microscopy)
|
| 25 |
+
- **Resolution**: ~16nm × 16nm × 15nm (nearly isotropic)
|
| 26 |
+
- **Volume Size**: 256 × 256 × 256 voxels per volume
|
| 27 |
+
|
| 28 |
+
### Data Contents
|
| 29 |
+
|
| 30 |
+
| Folder | Description | Files |
|
| 31 |
+
|--------|-------------|-------|
|
| 32 |
+
| `data/` | Raw FIB-SEM volumes | 8 NIfTI files |
|
| 33 |
+
| `mito/binary/` | Binary mitochondria masks | 5 NIfTI files |
|
| 34 |
+
| `mito/instance/` | Instance mitochondria masks | 5 NIfTI files |
|
| 35 |
+
| `mito/branched/` | Branched mitochondria annotations | 5 NIfTI files |
|
| 36 |
+
| `mito/contacting/` | Contacting mitochondria annotations | 5 NIfTI files |
|
| 37 |
+
| `mito/mesh/` | 3D mesh reconstructions | OBJ files |
|
| 38 |
+
| `lyso/binary/` | Binary endolysosome masks | 5 NIfTI files |
|
| 39 |
+
| `lyso/mesh/` | 3D mesh reconstructions | OBJ files |
|
| 40 |
+
| `golgi/` | Golgi apparatus annotations | NIfTI + OBJ files |
|
| 41 |
+
| `fv/` | Fusiform vesicles annotations | OBJ mesh files |
|
| 42 |
+
|
| 43 |
+
### Annotated Volumes
|
| 44 |
+
5 of 8 volumes have segmentation annotations:
|
| 45 |
+
- fib1-0-0-0
|
| 46 |
+
- fib1-1-0-3
|
| 47 |
+
- fib1-3-2-1
|
| 48 |
+
- fib1-3-3-0
|
| 49 |
+
- fib1-4-3-0
|
| 50 |
+
|
| 51 |
+
### File Format
|
| 52 |
+
- **Volumes & Masks**: NIfTI format (`.nii.gz`)
|
| 53 |
+
- **3D Meshes**: Wavefront OBJ format (`.obj`)
|
| 54 |
+
|
| 55 |
+
## Usage
|
| 56 |
+
|
| 57 |
+
```python
|
| 58 |
+
from huggingface_hub import hf_hub_download
|
| 59 |
+
import nibabel as nib
|
| 60 |
+
|
| 61 |
+
# Download a volume
|
| 62 |
+
volume_path = hf_hub_download(
|
| 63 |
+
repo_id="Angelou0516/UroCell",
|
| 64 |
+
filename="data/fib1-0-0-0.nii.gz",
|
| 65 |
+
repo_type="dataset"
|
| 66 |
+
)
|
| 67 |
+
|
| 68 |
+
# Load with nibabel
|
| 69 |
+
volume = nib.load(volume_path).get_fdata()
|
| 70 |
+
print(f"Volume shape: {volume.shape}") # (256, 256, 256)
|
| 71 |
+
```
|
| 72 |
+
|
| 73 |
+
## Citation
|
| 74 |
+
|
| 75 |
+
If you use this dataset, please cite:
|
| 76 |
+
|
| 77 |
+
```bibtex
|
| 78 |
+
@article{urocell2024,
|
| 79 |
+
title={UroCell: A FIB-SEM Dataset for 3D Organelle Segmentation},
|
| 80 |
+
author={MancaZeworksLabs},
|
| 81 |
+
year={2024},
|
| 82 |
+
url={https://github.com/MancaZeworksLabs/UroCell}
|
| 83 |
+
}
|
| 84 |
+
```
|
| 85 |
+
|
| 86 |
+
## License
|
| 87 |
+
|
| 88 |
+
This dataset is released under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license.
|
| 89 |
+
|
| 90 |
+
## Source
|
| 91 |
+
|
| 92 |
+
Original repository: https://github.com/MancaZeworksLabs/UroCell
|