STracking: a free and open-source python library for particle tracking and analysis

• Published in: bioRxiv
• Main Authors: Prigent, Sylvain, Valades-Cruz, Cesar Augusto, Leconte, Ludovic, Salamero, Jean, Kervrann, Charles
• Format: Paper
• Language: English
• Published: Cold Spring Harbor Cold Spring Harbor Laboratory Press 13.03.2022; Cold Spring Harbor Laboratory
• Edition: 1.1
• Subjects: Algorithms; Bioinformatics
• ISSN: 2692-8205; 2692-8205
• DOI: 10.1101/2022.03.10.483766

Analysis of intra and extra cellular dynamic like vesicles transport involves particle tracking algorithms. Designing a particle tracking pipeline is a routine but tedious task. Therefore, particle dynamics analysis is often performed by combining several pieces of software (filtering, detection, tracking...) requiring a lot of manual operations, and therefore leading to poorly reproducible results. A good synergy between particle detector with a tracker is of paramount importance. In addition, a user-friendly interface to control the quality of estimated trajectories is necessary. To address these issues, we developed STracking a python library that allows to combine algorithms into standardized particle tracking pipelines. Competing Interest Statement The authors have declared no competing interest.