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Since October 1, 2024, this version is no longer actively maintained and will not be updated. New plugins and plugin updates will continue to be listed.

EpiTools

epitools

Quantifying 2D cell shape and epithelial tissue dynamics

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EpiTools is a Python package and associated napari plugin to extract the membrane signal from epithelial tissues and analyze it with the aid of computer vision.

The development of EpiTools was inspired by the challenges in analyzing time-lapses of growing Drosophila imaginal discs.

The folded morphology, the very small apical cell surfaces and the long time series required a new automated cell recognition to accurately study growth dynamics.

Installation

First, install napari.

The recommended way to install EpiTools is via pip

python -m pip install epitools

To install the latest development version of EpiTools clone this repository and run

python -m pip install -e .

If working on Apple Silicon make sure to also install the following package from conda-forge.

conda install -c conda-forge pyqt

To also install the recommended plugins for the EpiTools workflow run

python -m pip install epitools[wf]

and

python -m pip install -e .[wf]

When installing with Apple Mac OS X terminal, you might need to add '"' to [wf] as in:

python -m pip install -e ."[wf]"

If working on Apple Silicon make sure to also install the following package from conda-forge

conda install -c conda-forge cvxopt

which is required for btrack.

Issues

If you encounter any problems, please file an issue along with a detailed description.

Contributing

Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.

Version:

  • 0.0.12

Last updated:

  • 15 August 2023

First released:

  • 04 May 2023

License:

Supported data:

  • Information not submitted

Open extension:

Save extension:

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GitHub activity:

  • Stars: 6
  • Forks: 0
  • Issues + PRs: 25

Python versions supported:

Operating system:

Requirements:

  • PartSeg
  • magicgui
  • matplotlib
  • napari
  • networkx
  • numpy
  • pandas
  • scikit-image >=0.20
  • scipy