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Objective comparison of particle tracking methods.
Chenouard, Nicolas; Smal, Ihor; de Chaumont, Fabrice; Maska, 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; Ortiz de Solórzano, Carlos; Olivo-Marin, Jean-Christophe; Meijering, Erik.
Affiliation
  • Chenouard N; 1] Institut Pasteur, Unité d'Analyse d'Images Quantitative, Centre National de la Recherche Scientifique Unité de Recherche Associée 2582, Paris, France. [2] Biomedical Imaging Group, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. [3] New York University Neuroscience Institute, New
  • Smal I; 1] Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands. [2] Department of Radiology, Erasmus University Medical Center, Rotterdam, The Netherlands. [3].
  • de Chaumont F; 1] Institut Pasteur, Unité d'Analyse d'Images Quantitative, Centre National de la Recherche Scientifique Unité de Recherche Associée 2582, Paris, France. [2].
  • Maska M; 1] Center for Applied Medical Research, University of Navarra, Pamplona, Spain. [2] Centre for Biomedical Image Analysis, Masaryk University, Brno, Czech Republic. [3].
  • Sbalzarini IF; MOSAIC Group, Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
  • Gong Y; MOSAIC Group, Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
  • Cardinale J; MOSAIC Group, Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
  • Carthel C; Compunetix Inc., Monroeville, Pennsylvania, USA.
  • Coraluppi S; Compunetix Inc., Monroeville, Pennsylvania, USA.
  • Winter M; Department of Electrical and Computer Engineering, Drexel University, Philadelphia, Pennsylvania, USA.
  • Cohen AR; Department of Electrical and Computer Engineering, Drexel University, Philadelphia, Pennsylvania, USA.
  • Godinez WJ; 1] Department of Bioinformatics and Functional Genomics, Institute of Pharmacy and Molecular Biotechnology, University of Heidelberg, Heidelberg, Germany. [2] Division of Theoretical Bioinformatics, German Cancer Research Center, Heidelberg, Germany.
  • Rohr K; 1] Department of Bioinformatics and Functional Genomics, Institute of Pharmacy and Molecular Biotechnology, University of Heidelberg, Heidelberg, Germany. [2] Division of Theoretical Bioinformatics, German Cancer Research Center, Heidelberg, Germany.
  • Kalaidzidis Y; 1] Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany. [2] Belozersky Institute of Physico-Chemical Biology, Moscow State University, Moscow, Russia.
  • Liang L; Department of Electrical Engineering, Yale University, New Haven, Connecticut, USA.
  • Duncan J; Department of Electrical Engineering, Yale University, New Haven, Connecticut, USA.
  • Shen H; Department of Cell Biology, Yale University, New Haven, Connecticut, USA.
  • Xu Y; Department of Biomedical Engineering, Zhejiang University, Hangzhou, China.
  • Magnusson KE; Department of Signal Processing, ACCESS Linnaeus Centre, KTH Royal Institute of Technology, Stockholm, Sweden.
  • Jaldén J; Department of Signal Processing, ACCESS Linnaeus Centre, KTH Royal Institute of Technology, Stockholm, Sweden.
  • Blau HM; Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
  • Paul-Gilloteaux P; Cell and Tissue Imaging Facility, Institut Curie, Paris, France.
  • Roudot P; Inria Rennes, Bretagne Atlantique, Rennes, France.
  • Kervrann C; Inria Rennes, Bretagne Atlantique, Rennes, France.
  • Waharte F; Cell and Tissue Imaging Facility, Institut Curie, Paris, France.
  • Tinevez JY; Plateforme d'Imagerie Dynamique, Imagopole, Institut Pasteur, Paris, France.
  • Shorte SL; Plateforme d'Imagerie Dynamique, Imagopole, Institut Pasteur, Paris, France.
  • Willemse J; Molecular Biotechnology Group, Institute of Biology, Leiden University, Leiden, The Netherlands.
  • Celler K; Molecular Biotechnology Group, Institute of Biology, Leiden University, Leiden, The Netherlands.
  • van Wezel GP; Molecular Biotechnology Group, Institute of Biology, Leiden University, Leiden, The Netherlands.
  • Dan HW; Department of Biomedical Engineering, Chung Yuan Christian University, Chung Li City, Taiwan, China.
  • Tsai YS; Department of Biomedical Engineering, Chung Yuan Christian University, Chung Li City, Taiwan, China.
  • Ortiz de Solórzano C; Center for Applied Medical Research, University of Navarra, Pamplona, Spain.
  • Olivo-Marin JC; 1] Institut Pasteur, Unité d'Analyse d'Images Quantitative, Centre National de la Recherche Scientifique Unité de Recherche Associée 2582, Paris, France. [2].
  • Meijering E; 1] Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands. [2] Department of Radiology, Erasmus University Medical Center, Rotterdam, The Netherlands. [3].
Nat Methods ; 11(3): 281-9, 2014 Mar.
Article in En | MEDLINE | ID: mdl-24441936
ABSTRACT
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 tasks by many groups. Aiming to perform an objective comparison of methods, we gathered the community and organized an open competition in which participating teams applied their own methods independently to a commonly defined data set including diverse scenarios. Performance was assessed using commonly defined measures. Although no single method performed best across all scenarios, the results revealed clear differences between the various approaches, leading to notable practical conclusions for users and developers.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Interpretation, Computer-Assisted / Microscopy, Fluorescence Language: En Journal: Nat Methods Journal subject: TECNICAS E PROCEDIMENTOS DE LABORATORIO Year: 2014 Document type: Article
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Interpretation, Computer-Assisted / Microscopy, Fluorescence Language: En Journal: Nat Methods Journal subject: TECNICAS E PROCEDIMENTOS DE LABORATORIO Year: 2014 Document type: Article