Objective comparison of particle tracking methods

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 tas...

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主要な著者: Chenouard, Nicolas, Smal, Ihor, de Chaumont, Fabrice, Maška, Martin, Sbalzarini, Ivo F, Gong, Yuanhao, Cardinale, Janick, Carthel, Craig, Coraluppi, Stefano, Winter, Mark, Cohen, Andrew R, Godinez, William J, Rohr, Karl, Kalaidzidis, Yannis, Liang, Liang, Duncan, James, Shen, Hongying, Xu, Yingke, Magnusson, Klas E G, Jaldén, Joakim, Blau, Helen M, Paul-Gilloteaux, Perrine, Roudot, Philippe, Kervrann, Charles, Waharte, François, Tinevez, Jean-Yves, Shorte, Spencer L, Willemse, Joost, Celler, Katherine, van Wezel, Gilles P, Dan, Han-Wei, Tsai, Yuh-Show, de Solórzano, Carlos Ortiz, Olivo-Marin, Jean-Christophe, Meijering, Erik
フォーマット: Artigo
言語:Inglês
出版事項: Nature Publishing Group US 2014
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Article
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4131736/
https://ncbi.nlm.nih.gov/pubmed/24441936
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/nmeth.2808
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