STracking: a free and open-source Python library for particle tracking and analysis - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Bioinformatics Year : 2022

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

Abstract

Analysis of intra- and extracellular dynamic like vesicles transport involves particle tracking algorithms. The design of 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, etc.) requiring many manual operations, and thus leading to poorly reproducible results. Given the new segmentation tools based on deep learning, modularity and interoperability between software have become essential in particle tracking algorithms. A good synergy between a particle detector and 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 combining algorithms into standardized particle tracking pipelines.
Fichier principal
Vignette du fichier
STracking_hal.pdf (1.83 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03688217 , version 1 (03-06-2022)

Identifiers

Cite

Sylvain Prigent, Cesar Augusto Valades-Cruz, Ludovic Leconte, Jean Salamero, Charles Kervrann. STracking: a free and open-source Python library for particle tracking and analysis. Bioinformatics, 2022, 38 (14), pp.3671-3673. ⟨10.1093/bioinformatics/btac365⟩. ⟨hal-03688217⟩
125 View
77 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More