| license: other | |
| license_name: modified-apache-2.0-noncommercial | |
| license_link: LICENSE | |
| # Model Card for Model ID | |
| This model combines several modes of deep learning (convolutional neural networks, LSTMs, and graph neural networks) to predict track linkages in live-cell fluorescence movies of nuclei. | |
| ## Model Details | |
| ### Model Description | |
| - **Developed by:** The Van Valen Lab | |
| - **Model type:** multimodal deep learning framework for cell tracking | |
| - **Language(s) (NLP):** en | |
| - **License:** Modified Apache 2.0 Noncommercial | |
| ### Model Sources | |
| <!-- Provide the basic links for the model. --> | |
| - **Repository:** [Github](https://github.com/vanvalenlab/torch-tracking) | |
| - **Paper:** [Caliban: Accurate cell tracking and lineage construction in live-cell imaging experiments with deep learning](https://www.biorxiv.org/content/10.1101/803205v5) | |
| ## Environmental Impact | |
| - **Hardware Type:** RTX A6000 | |
| - **Hours used:** 6 | |
| - **Cloud Provider:** Private infrastructure | |
| - **Carbon Efficiency:** 0.432 kg/kWh | |
| - **Carbon Emitted:** 0.78 kg eq. | |
| ## ⚠️Under Construction ⚠️ | |
| ## Uses | |
| In progress | |
| ### Direct Use | |
| In progress | |
| ### Out-of-Scope Use | |
| In progress | |
| ## Bias, Risks, and Limitations | |
| In progress | |
| ## How to Get Started with the Model | |
| In progress | |
| ## Training Details | |
| ### Training Data | |
| In progress | |
| ### Training Procedure | |
| #### Preprocessing | |
| In progress | |
| #### Training Hyperparameters | |
| In progress | |
| #### Loss function | |
| In progress | |
| ## Evaluation | |
| ### Testing Data, Factors & Metrics | |
| #### Testing Data | |
| In progress | |
| #### Metrics | |
| In progress | |
| ## Citation | |
| **BibTeX:** in progress | |
| **APA:** in progress | |
| ## Model Card Contact | |