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