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      Objective comparison of particle tracking methods

      1 , 2 , 3 , 4 , 5 , 1 , 6 , 7 , 8 , 8 , 8 , 9 , 9 , 10 , 10 , 11 , 12 , 11 , 12 , 13 , 14 , 15 , 15 , 16 , 17 , 18 , 18 , 19 , 20 , 21 , 21 , 20 , 22 , 22 , 23 , 23 , 23 , 24 , 24 , 6 , , 1 , , 4 , 5

      Nature Methods

      Nature Publishing Group US

      Image processing, Microscopy, Fluorescence imaging

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The first community competition designed to objectively compare the performance of particle tracking algorithms provides valuable practical information for both users and developers.

          Supplementary information

          The online version of this article (doi:10.1038/nmeth.2808) contains supplementary material, which is available to authorized users.

          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.

          Supplementary information

          The online version of this article (doi:10.1038/nmeth.2808) contains supplementary material, which is available to authorized users.

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          Most cited references 46

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          Advances in molecular biology, organic chemistry, and materials science have recently created several new classes of fluorescent probes for imaging in cell biology. Here we review the characteristic benefits and limitations of fluorescent probes to study proteins. The focus is on protein detection in live versus fixed cells: determination of protein expression, localization, activity state, and the possibility for combination of fluorescent light microscopy with electron microscopy. Small organic fluorescent dyes, nanocrystals ("quantum dots"), autofluorescent proteins, small genetic encoded tags that can be complexed with fluorochromes, and combinations of these probes are highlighted.
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            Algorithms for the Assignment and Transportation Problems

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              Single-particle tracking: applications to membrane dynamics.

              Measurements of trajectories of individual proteins or lipids in the plasma membrane of cells show a variety of types of motion. Brownian motion is observed, but many of the particles undergo non-Brownian motion, including directed motion, confined motion, and anomalous diffusion. The variety of motion leads to significant effects on the kinetics of reactions among membrane-bound species and requires a revision of existing views of membrane structure and dynamics.
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                Author and article information

                Contributors
                jcolivo@pasteur.fr
                meijering@imagescience.org
                Journal
                Nat Methods
                Nat. Methods
                Nature Methods
                Nature Publishing Group US (New York )
                1548-7091
                1548-7105
                19 January 2014
                19 January 2014
                2014
                : 11
                : 3
                : 281-289
                Affiliations
                [1 ]GRID grid.428999.7, ISNI 0000 0001 2353 6535, Institut Pasteur, Unité d'Analyse d'Images Quantitative, Centre National de la Recherche Scientifique Unité de Recherche Associée 2582, ; Paris, France
                [2 ]GRID grid.5333.6, ISNI 0000000121839049, Biomedical Imaging Group, École Polytechnique Fédérale de Lausanne, ; Lausanne, Switzerland
                [3 ]GRID grid.240324.3, ISNI 0000 0001 2109 4251, New York University Neuroscience Institute, New York University Medical Center, ; New York, New York USA
                [4 ]GRID grid.5645.2, ISNI 000000040459992X, Department of Medical Informatics, , Erasmus University Medical Center, ; Rotterdam, The Netherlands
                [5 ]GRID grid.5645.2, ISNI 000000040459992X, Department of Radiology, , Erasmus University Medical Center, ; Rotterdam, The Netherlands
                [6 ]GRID grid.5924.a, ISNI 0000000419370271, Center for Applied Medical Research, University of Navarra, ; Pamplona, Spain
                [7 ]GRID grid.10267.32, ISNI 0000 0001 2194 0956, Centre for Biomedical Image Analysis, Masaryk University, ; Brno, Czech Republic
                [8 ]GRID grid.419537.d, ISNI 0000 0001 2113 4567, MOSAIC Group, Max Planck Institute of Molecular Cell Biology and Genetics, ; Dresden, Germany
                [9 ]Compunetix Inc., Monroeville, Pennsylvania USA
                [10 ]GRID grid.166341.7, ISNI 0000 0001 2181 3113, Department of Electrical and Computer Engineering, , Drexel University, ; Philadelphia, Pennsylvania USA
                [11 ]GRID grid.7700.0, ISNI 0000 0001 2190 4373, Department of Bioinformatics and Functional Genomics, , Institute of Pharmacy and Molecular Biotechnology, University of Heidelberg, ; Heidelberg, Germany
                [12 ]GRID grid.7497.d, ISNI 0000 0004 0492 0584, Division of Theoretical Bioinformatics, , German Cancer Research Center, ; Heidelberg, Germany
                [13 ]GRID grid.419537.d, ISNI 0000 0001 2113 4567, Max Planck Institute of Molecular Cell Biology and Genetics, ; Dresden, Germany
                [14 ]GRID grid.14476.30, ISNI 0000 0001 2342 9668, Belozersky Institute of Physico-Chemical Biology, Moscow State University, ; Moscow, Russia
                [15 ]GRID grid.47100.32, ISNI 0000000419368710, Department of Electrical Engineering, , Yale University, ; New Haven, Connecticut USA
                [16 ]GRID grid.47100.32, ISNI 0000000419368710, Department of Cell Biology, , Yale University, ; New Haven, Connecticut USA
                [17 ]GRID grid.13402.34, ISNI 0000 0004 1759 700X, Department of Biomedical Engineering, , Zhejiang University, ; Hangzhou, China
                [18 ]GRID grid.5037.1, ISNI 0000000121581746, Department of Signal Processing, , ACCESS Linnaeus Centre, KTH Royal Institute of Technology, ; Stockholm, Sweden
                [19 ]GRID grid.168010.e, ISNI 0000000419368956, Department of Microbiology and Immunology, , Baxter Laboratory for Stem Cell Biology, Stanford University School of Medicine, ; Stanford, California USA
                [20 ]GRID grid.418596.7, ISNI 0000 0004 0639 6384, Cell and Tissue Imaging Facility, Institut Curie, ; Paris, France
                [21 ]GRID grid.457354.4, Inria Rennes, Bretagne Atlantique, ; Rennes, France
                [22 ]GRID grid.428999.7, ISNI 0000 0001 2353 6535, Plateforme d'Imagerie Dynamique, Imagopole, Institut Pasteur, ; Paris, France
                [23 ]GRID grid.5132.5, ISNI 0000 0001 2312 1970, Molecular Biotechnology Group, Institute of Biology, Leiden University, ; Leiden, The Netherlands
                [24 ]Department of Biomedical Engineering, Chung Yuan Christian University, Chung Li City, Taiwan, China
                Article
                BFnmeth2808
                10.1038/nmeth.2808
                4131736
                24441936
                © The Author(s) 2013

                This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/

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                © The Author(s), under exclusive licence to Springer Nature America, Inc. 2014

                Life sciences

                image processing, microscopy, fluorescence imaging

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