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Objective comparison of particle tracking methods.


ABSTRACT: Particle tracking is of key importance for quantitative analysis of intracellular dynamic processes from time-lapse microscopy image data. Because manually detecting and following large numbers of individual particles is not feasible, automated computational methods have been developed for these tasks by many groups. Aiming to perform an objective comparison of methods, we gathered the community and organized an open competition in which participating teams applied their own methods independently to a commonly defined data set including diverse scenarios. Performance was assessed using commonly defined measures. Although no single method performed best across all scenarios, the results revealed clear differences between the various approaches, leading to notable practical conclusions for users and developers.

SUBMITTER: Chenouard N 

PROVIDER: S-EPMC4131736 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature

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Objective comparison of particle tracking methods.

Chenouard Nicolas N   Smal Ihor I   de Chaumont Fabrice F   Maška Martin M   Sbalzarini Ivo F IF   Gong Yuanhao Y   Cardinale Janick J   Carthel Craig C   Coraluppi Stefano S   Winter Mark M   Cohen Andrew R AR   Godinez William J WJ   Rohr Karl K   Kalaidzidis Yannis Y   Liang Liang L   Duncan James J   Shen Hongying H   Xu Yingke Y   Magnusson Klas E G KE   Jaldén Joakim J   Blau Helen M HM   Paul-Gilloteaux Perrine P   Paul-Gilloteaux Perrine P   Roudot Philippe P   Kervrann Charles C   Waharte François F   Tinevez Jean-Yves JY   Shorte Spencer L SL   Willemse Joost J   Celler Katherine K   van Wezel Gilles P GP   Dan Han-Wei HW   Tsai Yuh-Show YS   Ortiz de Solórzano Carlos C   Olivo-Marin Jean-Christophe JC   Meijering Erik E  

Nature methods 20140119 3


Particle tracking is of key importance for quantitative analysis of intracellular dynamic processes from time-lapse microscopy image data. Because manually detecting and following large numbers of individual particles is not feasible, automated computational methods have been developed for these tasks by many groups. Aiming to perform an objective comparison of methods, we gathered the community and organized an open competition in which participating teams applied their own methods independentl  ...[more]

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