The napari hub is transitioning to a community-run implementation due to launch in June 2025.
Since October 1, 2024, this version is no longer actively maintained and will not be updated.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.

Open CTC data

napari-open-ctc

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

Workflow step:
Visualization

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:

  • 03 June 2024

First released:

  • 03 June 2024

License:

Supported data:

  • Information not submitted

Plugin type:

Open extension:

GitHub activity:

  • Stars: 1
  • Forks: 1
  • Issues + PRs: 4

Python versions supported:

Operating system:

Requirements:

  • napari
  • numpy
  • scikit-image
  • tifffile
  • pandas
  • imagecodecs