metadata
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
- Repository: Github
- Paper: Caliban: Accurate cell tracking and lineage construction in live-cell imaging experiments with deep learning
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
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Citation
BibTeX: in progress
APA: in progress