Objective comparison of particle tracking methods

Nicolas Chenouard 1, 2 Ihor Smal 3 Fabrice de Chaumont 1 Martin Maska 4 Ivo F. Sbalzarini 5 Yuanhao Gon 5 Janick Cardinale 5 Craig Carthel 6 Stefano Coraluppi 6 Mark Winter 7 Andrew R. Cohen 7 William J. Godinez 8 Karl Rohr 8 Yannis Kalaidzidis 5, 9 Liang Liang 10 James Duncan 10 Hongying Shen 11 Yingke Xu 12 Klas Magnusson 13 Joakim Jalden 14 Hélène M. Blau 15 Perrine Paul-Gilloteaux 16, 17 Philippe Roudot 18 Charles Kervrann 18 François Waharte 16, 17 Jean-Yves Tinevez 19 Spencer L. Shorte 19 Joost Willemse 20 Katherine Celler 20 Gilles P. van Wezel 20 Han-Wei Dan 21 Yuh-Show Tsai 21 Carlos Ortiz de Solorzano 4 Jean-Christophe Olivo-Marin 1 Erik Meijering 3
1 AIQ - Analyse d'Images Quantitative
2 Biomedical Imaging Group [Lausanne]
3 BIG - Biomedical Imaging Group [Rotterdam]
4 CIMA - Division of Hepatology and Gene Therapy
5 MPI-CBG - Max Planck Institute of Molecular Cell Biology and Genetics
6 Compunetix
7 Department of Electrical Engineering & Computer Science - University of Wisconsin-Milwaukee
8 Bioquant
9 Belozersky Institute of Physico-Chemical Biology
10 Department of Electrical Engineering [Yale University]
11 Department of Cell Biology [New Haven]
12 Department of Biomedical Engineering [Hangzhou]
13 Signal Processing Lab [Stockholm]
14 KTH - Royal Institute of Technology [Stockholm]
15 Stanford University School of Medicine [Stanford]
16 Mécanismes moléculaires du transport intracellulaire
CDC - Compartimentation et dynamique cellulaires
17 PICT-IBiSA - BioImaging Cell and Tissue Core Facility
18 SERPICO - Space-timE RePresentation, Imaging and cellular dynamics of molecular COmplexes
Inria Rennes – Bretagne Atlantique
19 PFID - Imagerie Dynamique (Plate-Forme)
20 Leiden Institute of Chemistry
21 Department of Biomedical Engineering [Taiwan]
Abstract : Particle tracking is of key importance for quantitative analysis of intracellular dynamic processes from time-lapse microscopy data. As detecting and following large numbers of individual particles by hand is not feasible, state-of-the-art computational methods for these tasks have been developed by many groups worldwide. Aspiring an objective comparison of methods, we gathered the community and organized, for the first time, an open competition, in which participating teams applied their own methods independently to a commonly defined data set including diverse scenarios, and performance was assessed using commonly defined measures. While no single method performed best across all scenarios, the results revealed clear differences between the various approaches, leading to important practical conclusions for users and developers.
Keywords : Microscopy Image processing Fluorescence imaging
Document type :
Journal articles
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https://hal.inria.fr/hal-00932869
Contributor : Charles Kervrann <>
Submitted on : Friday, January 17, 2014 - 10:43:53 PM
Last modification on : Wednesday, September 4, 2019 - 5:36:02 PM

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Nicolas Chenouard, Ihor Smal, Fabrice de Chaumont, Martin Maska, Ivo F. Sbalzarini, et al.. Objective comparison of particle tracking methods. Nature Methods, Nature Publishing Group, 2014, 11 (3), pp.281-289. ⟨10.1038/nmeth.2808⟩. ⟨hal-00932869⟩

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