TRAIT2D: a Software for Quantitative Analysis of Single Particle Diffusion Data

Francesco Reina; John M. A. Wigg; Mariia Dmitrieva; Joёl Lefebvre; Jens Rittscher; Christian Eggeling

doi:10.1101/2021.03.04.433888

Summary

Single Particle Tracking (SPT) is one of the most widespread techniques to evaluate particle mobility in a variety of situations, such as in cellular and model membrane dynamics. The proposed TRAIT2D Python library is developed to provide object tracking, trajectory analysis and produce simulated datasets with graphical user interface. The tool allows advanced users to customise the analysis to their requirements.

Availability and implementation: the software has been coded in Python, and can be accessed from: https://github.com/Eggeling-Lab-Microscope-Software/TRAIT2D, or the pypi and condaforge repositories.

A comprehensive user guide is provided at https://eggeling-lab-microscope-software.github.io/TRAIT2D/.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

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