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This project aims to take existing analyses of nanoparticle diffusion that I have worked on previously and expand the analysis to additional features.
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diff_classifier
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README.md

diff_classifier

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diff_classifier is a python package for analyzing and visualizing 2D nanoparticle trajectory data from multi-particle tracking analysis. The package utilizes the ImageJ package Trackmate for tracking analysis, and Cloudknot for parallelization on AWS.

diff_classifier

This is the diff_classifier development site. You can view the source code and file new issues. If you are just getting started, you should look at the diff_classifier documentation

Contributing

Contributions are welcome! Diff_classifier is open source, built on open source, and we love any input, suggestions, and problems.

Guidelines for contributing are included for your convenience.

Credits

This package was created with shablona.

Guidelines for contributions were based off the CONTRIBUTIONS file developed by Adam Richie-Halford.

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