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LapTrack

Project description

PyPI Status Python Version License

Read the documentation at https://laptrack.readthedocs.io/ Tests Codecov

pre-commit Black Zenodo

Features

Provides a robust particle tracking algorithm using the Linear Assignment Problem, with various cost functions for linking.

See the preprint and associated repository for the algorithm and parameter optimization by Ray-Tune.

Requirements

Python >= 3.7.11 is supported. The software is tested against Python 3.7-3.10 in Ubuntu, and 3.10 in MacOS and Windows environments, but the other combinations should also be fine. Please file an issue if you encounter any problem.

Installation

You can install LapTrack via pip from PyPI:

$ pip install laptrack

In Google Colaboratory, try

$ pip install --upgrade laptrack spacy flask

to update the pre-installed packages.

Usage

Please see the Usage for details.

The API reference covers the main classes and functions provided by LapTrack.

Contributing

Contributions are very welcome. To learn more, see the Contributor Guide.

License

Distributed under the terms of the The 3-Clause BSD License, LapTrack is free and open source software.

Issues

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

Credits

Citation

If you use this program for your research, please cite it and help us build more.

@misc{fukai_2022,
  title = {{{LapTrack}}: {{Linear}} Assignment Particle Tracking with Tunable Metrics},
  shorttitle = {{{LapTrack}}},
  author = {Fukai, Yohsuke T. and Kawaguchi, Kyogo},
  year = {2022},
  month = oct,
  pages = {2022.10.05.511038},
  publisher = {{bioRxiv}},
  doi = {10.1101/2022.10.05.511038},
}
@misc{laptrack,
   author = {Yohsuke T. Fukai},
   title = {laptrack},
   year  = {2021},
   url   = {https://doi.org/10.5281/zenodo.5519537},
}

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