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

被引:5
|
作者
Prigent, Sylvain [1 ,2 ]
Valades-Cruz, Cesar Augusto [1 ,2 ]
Leconte, Ludovic [1 ,2 ]
Salamero, Jean [1 ,2 ]
Kervrann, Charles [1 ,2 ]
机构
[1] Inria Ctr Rennes Bretagne Atlantique, SERPICO Project Team, F-35042 Rennes, France
[2] PSL Res Univ, CNRS Inst Curie, SERPICO Project Team, UMR144, F-75005 Paris, France
关键词
PLATFORM;
D O I
10.1093/bioinformatics/btac365
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:3671 / 3673
页数:3
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