Open CTC data

"Drag and drop annotations/results in the Cell Tracking Challenge (CTC) format into napari."

  • Benjamin Gallusser

PyPI tests codecov napari hub

Drag and drop annotations/results in the Cell Tracking Challenge (CTC) format into napari.

Works for TRA, RES, etc. folders, which contain a time sequence of segmentations in tiff format, and a corresponding tracklet file *.txt.

https://github.com/bentaculum/napari-open-ctc/assets/8866751/197c9ea2-4115-4829-851a-4b77eb843bf2

Installation

You can install napari-open-ctc via pip:

pip install napari-open-ctc

To install latest development version :

pip install git+https://github.com/bentaculum/napari-open-ctc.git

Contributing

Contributions are very welcome. Tests can be run with tox.

License

Distributed under the terms of the BSD-3 license, napari-open-ctc is free and open source software.

Issues

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

Version:

  • 0.1.2

Last updated:

  • 2024-06-03

First released:

  • 2024-06-03

License:

  • BSD-3-Clause

Supported data:

  • Information not submitted

Plugin type:

Open extension:

Save extension:

Python versions supported:

Operating system:

  • Information not submitted

Requirements:

  • napari
  • numpy
  • scikit-image
  • tifffile
  • pandas
  • imagecodecs
  • tox ; extra == 'testing'
  • pytest ; extra == 'testing'
  • pytest-cov ; extra == 'testing'
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