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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Bibliografiset tiedot
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Nature Publishing Group US 2014
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Article
Linkit: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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