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Celltraj

Live-cell imaging cell-state trajectory embedding

Install / Use

/learn @jcopperm/Celltraj
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

======== celltraj

.. image:: https://img.shields.io/pypi/v/celltraj.svg :target: https://pypi.python.org/pypi/celltraj


A toolset for the modeling and analysis of single-cell trajectories.

Key Features

  • Single-Cell Trajectory Analysis: Leverages time-lapse imaging data to construct detailed trajectories of single-cell behavior, capturing changes in morphology and motility.
  • Morphodynamical State Decomposition: Utilizes data-driven methods to define and analyze cell states based on dynamic cellular features, providing insights into cell state transitions.
  • Dynamical Modeling: Implements MSMs and Koopman operator-based approaches to kinetically characterize cell state transitions and generate embeddings for visualizing cell dynamics.
  • Integration with Molecular Data: Maps live-cell imaging data to gene expression profiles, enabling predictions of RNA transcript levels based on cell state dynamics.
  • Tutorials: Includes jupyter-notebooks with links to Zenodo repositories with downloadable data to guide users through the process of trajectory embedding and MMIST (Molecular and Morphodynamics-Integrated Single-cell Trajectories).

References

  • Copperman, Jeremy, Sean M. Gross, Young Hwan Chang, Laura M. Heiser, and Daniel M. Zuckerman. “Morphodynamical cell state description via live-cell imaging trajectory embedding.” Communications Biology 6, no. 1 (2023): 484.
  • Copperman, Jeremy, Ian C. Mclean, Sean M. Gross, Young Hwan Chang, Daniel M. Zuckerman, and Laura M. Heiser. “Single-cell morphodynamical trajectories enable prediction of gene expression accompanying cell state change.” bioRxiv (2024): 2024-01.

License

Free software: MIT license

Documentation

  • celltraj documentation <https://jcopperm.github.io/celltraj>_

Tutorials

  • Morphodynamical Trajectory Embedding Tutorial <https://github.com/jcopperm/celltraj/blob/main/tutorials/trajectory_embedding.ipynb>_
  • MMIST: Molecular and Morphodynamics-Integrated Single-cell Trajectories Tutorial <https://github.com/jcopperm/celltraj/blob/main/tutorials/mmist.ipynb>_
  • SITE: Serial Imaging of Tumor and microEnvironment https://github.com/murthyvai/SITE

This package was created with Cookiecutter_ and the audreyr/cookiecutter-pypackage_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter .. _audreyr/cookiecutter-pypackage: https://github.com/audreyr/cookiecutter-pypackage

View on GitHub
GitHub Stars6
CategoryDevelopment
Updated4mo ago
Forks2

Languages

Jupyter Notebook

Security Score

82/100

Audited on Nov 18, 2025

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