| --- |
| license: cc-by-4.0 |
| task_categories: |
| - image-segmentation |
| - object-detection |
| tags: |
| - biology |
| - medical-imaging |
| - microscopy |
| - cell-segmentation |
| - CAR-T |
| - immunological-synapse |
| size_categories: |
| - n<1K |
| --- |
| |
| # CAR-T/NK Immunological Synapse Dataset |
|
|
| ## Dataset Description |
|
|
| This dataset contains fluorescence microscopy images of Chimeric Antigen Receptor (CAR)-T and NK cell immunological synapses (IS) with corresponding instance segmentation masks. The images were acquired from patient-derived CAR-T/NK cell samples stained with multiple fluorescent markers including Perforin, P-Zeta, F-actin, and IgG. |
|
|
| The dataset is designed for training and evaluating object detection and instance segmentation models on biomedical cell microscopy images. |
|
|
| ## Dataset Structure |
|
|
| ``` |
| data_hf/ |
| ├── images/ # 156 fluorescence microscopy images (full dataset) |
| ├── masks/ # 156 instance segmentation masks (full dataset) |
| ├── train/ # 93 training images |
| ├── train_annotation/ # 93 training masks |
| ├── test/ # 31 test images |
| ├── test_annotation/ # 31 test masks |
| ├── val/ # 32 validation images |
| └── val_annotation/ # 32 validation masks |
| ``` |
|
|
| ## Dataset Statistics |
|
|
| | Split | Images | Masks | |
| |------------|--------|-------| |
| | Train | 93 | 93 | |
| | Test | 31 | 31 | |
| | Validation | 32 | 32 | |
| | **Total** | **156**| **156**| |
|
|
| ## Image Properties |
|
|
| - **Resolution**: 1024 x 1024 pixels |
| - **Format**: PNG |
| - **Modality**: Multi-channel fluorescence microscopy |
| - **Fluorescent markers**: AF647, AF488 (Perforin), AF568 (P-Zeta), AF405 (F-actin), and others depending on CAR construct |
|
|
| ## Annotation Details |
|
|
| Each mask is an instance segmentation annotation where individual cells are labeled with unique pixel values. The masks enable both bounding box detection and pixel-level instance segmentation tasks. |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("YOUR_USERNAME/cart-nk-is-dataset") |
| ``` |
|
|
| Or directly load images: |
|
|
| ```python |
| from PIL import Image |
| import os |
| |
| image = Image.open("train/example.png") |
| mask = Image.open("train_annotation/example.png") |
| ``` |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite: |
|
|
| ```bibtex |
| @article{zhang2025data, |
| title={Data Augmentation for High-Fidelity Generation of CAR-T/NK Immunological Synapse Images}, |
| author={Zhang, Xiang and Zhang, Boxuan and Naghizadeh, Alireza and Mohamed, Mohab and Liu, Dongfang and Tang, Ruixiang and Metaxas, Dimitris and Liu, Dongfang}, |
| journal={Frontiers}, |
| year={2025} |
| } |
| ``` |
|
|
| ## License |
|
|
| This dataset is released under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license. |
|
|
