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Journal article
Objective comparison of particle tracking methods
Nature methods, v 11(3), pp 281-289
2014
PMID: 24441936
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- Objective comparison of particle tracking methods
- Creators
- Nicolas Chenouard - Max-Planck-SocietyIhor Smal - Max Planck Institute of Molecular Cell Biology and GeneticsFabrice de Chaumont - Institut PasteurMartin Maska - University of NavarraIvo F. Sbalzarini - Max Planck Institute of Molecular Cell Biology and GeneticsYuanhao Gon - Max Planck Institute of Molecular Cell Biology and GeneticsJanick Cardinale - Max Planck Institute of Molecular Cell Biology and GeneticsCraig Carthel - Max-Planck-SocietyStefano Coraluppi - Max-Planck-SocietyMark Winter - Max-Planck-SocietyAndrew R. Cohen - Drexel UniversityWilliam J. Godinez - Max-Planck-SocietyKarl Rohr - Max-Planck-SocietyYannis Kalaidzidis - Max Planck Institute of Molecular Cell Biology and GeneticsLiang Liang - Max-Planck-SocietyJames Duncan - Max-Planck-SocietyHongying Shen - Max-Planck-SocietyYingke Xu - Zhejiang UniversityKlas Magnusson - Signal Processing Lab [Stockholm]Joakim Jalden - Royal Institute of TechnologyHélène M. Blau - Stanford School of Medicine [Stanford]Perrine Paul-Gilloteaux - Institute CuriePhilippe Roudot - Inria Rennes - Bretagne Atlantique Research CentreCharles Kervrann - Inria Rennes - Bretagne Atlantique Research CentreFrançois Waharte - Institute CurieJean-Yves Tinevez - Institut PasteurSpencer L. Shorte - Institut PasteurJoost Willemse - Leiden UniversityKatherine Celler - Leiden UniversityGilles P. van Wezel - Leiden UniversityHan-Wei Dan - Chung Yuan Christian UniversityYuh-Show Tsai - Chung Yuan Christian UniversityCarlos Ortiz de Solorzano - Division of Hepatology and Gene TherapyJean-Christophe Olivo-Marin - Max-Planck-SocietyErik Meijering - Max-Planck-Society
- Publication Details
- Nature methods, v 11(3), pp 281-289
- Publisher
- Nature Publishing Group
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000332086100020
- Scopus ID
- 2-s2.0-84895512107
- Other Identifier
- 991019168481104721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Biochemical Research Methods