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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4131736/
https://www.ncbi.nlm.nih.gov/pubmed/24441936
http://dx.doi.org/10.1038/nmeth.2808

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4131736/
https://www.ncbi.nlm.nih.gov/pubmed/24441936
http://dx.doi.org/10.1038/nmeth.2808

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