An objective comparison of cell-tracking algorithms.

Autor: Ulman V; Centre for Biomedical Image Analysis, Masaryk University, Brno, Czech Republic., Maška M; Centre for Biomedical Image Analysis, Masaryk University, Brno, Czech Republic., Magnusson KEG; ACCESS Linnaeus Centre, KTH Royal Institute of Technology, Stockholm, Sweden., Ronneberger O; Computer Science Department and BIOSS Centre for Biological Signaling Studies University of Freiburg, Frieburg, Germany., Haubold C; Heidelberg Collaboratory for Image Processing, IWR, University of Heidelberg, Heidelberg, Germany., Harder N; Biomedical Computer Vision Group, Department of Bioinformatics and Functional Genomics, BIOQUANT, IPMB, University of Heidelberg and DKFZ, Heidelberg, Germany., Matula P; Centre for Biomedical Image Analysis, Masaryk University, Brno, Czech Republic., Matula P; Centre for Biomedical Image Analysis, Masaryk University, Brno, Czech Republic., Svoboda D; Centre for Biomedical Image Analysis, Masaryk University, Brno, Czech Republic., Radojevic M; Biomedical Imaging Group Rotterdam, Departments of Medical Informatics and Radiology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands., Smal I; Biomedical Imaging Group Rotterdam, Departments of Medical Informatics and Radiology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands., Rohr K; Biomedical Computer Vision Group, Department of Bioinformatics and Functional Genomics, BIOQUANT, IPMB, University of Heidelberg and DKFZ, Heidelberg, Germany., Jaldén J; ACCESS Linnaeus Centre, KTH Royal Institute of Technology, Stockholm, Sweden., Blau HM; Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California, USA., Dzyubachyk O; Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands., Lelieveldt B; Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands.; Intelligent Systems Department, Delft University of Technology, Delft, the Netherlands., Xiao P; Institute of Molecular and Cell Biology, A*Star, Singapore., Li Y; Department of Engineering, University of Nottingham, Nottingham, UK., Cho SY; Faculty of Engineering, University of Nottingham, Ningbo, China., Dufour AC; BioImage Analysis Unit, Institut Pasteur, Paris, France., Olivo-Marin JC; BioImage Analysis Unit, Institut Pasteur, Paris, France., Reyes-Aldasoro CC; Research Centre in Biomedical Engineering, School of Mathematics, Computer Science and Engineering, City University of London, London, UK., Solis-Lemus JA; Research Centre in Biomedical Engineering, School of Mathematics, Computer Science and Engineering, City University of London, London, UK., Bensch R; Computer Science Department and BIOSS Centre for Biological Signaling Studies University of Freiburg, Frieburg, Germany., Brox T; Computer Science Department and BIOSS Centre for Biological Signaling Studies University of Freiburg, Frieburg, Germany., Stegmaier J; Group for Automated Image and Data Analysis, Institute for Applied Computer Science, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany., Mikut R; Group for Automated Image and Data Analysis, Institute for Applied Computer Science, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany., Wolf S; Heidelberg Collaboratory for Image Processing, IWR, University of Heidelberg, Heidelberg, Germany., Hamprecht FA; Heidelberg Collaboratory for Image Processing, IWR, University of Heidelberg, Heidelberg, Germany., Esteves T; i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.; Facultade de Engenharia, Universidade do Porto, Porto, Portugal., Quelhas P; i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal., Demirel Ö; S3IT, University of Zurich, Zurich, Switzerland., Malmström L; S3IT, University of Zurich, Zurich, Switzerland., Jug F; Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany., Tomancak P; Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany., Meijering E; Biomedical Imaging Group Rotterdam, Departments of Medical Informatics and Radiology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands., Muñoz-Barrutia A; Bioengineering and Aerospace Engineering Department, Universidad Carlos III de Madrid, Getafe, Spain.; Instituto de Investigación Sanitaria Gregorio Marañon, Madrid, Spain., Kozubek M; Centre for Biomedical Image Analysis, Masaryk University, Brno, Czech Republic., Ortiz-de-Solorzano C; CIBERONC, IDISNA and Program of Solid Tumors and Biomarkers, Center for Applied Medical Research, University of Navarra, Pamplona, Spain.; Bioengineering Department, TECNUN School of Engineering, University of Navarra, San Sebastián, Spain.
Jazyk: angličtina
Zdroj: Nature methods [Nat Methods] 2017 Dec; Vol. 14 (12), pp. 1141-1152. Date of Electronic Publication: 2017 Oct 30.
DOI: 10.1038/nmeth.4473
Abstrakt: We present a combined report on the results of three editions of the Cell Tracking Challenge, an ongoing initiative aimed at promoting the development and objective evaluation of cell segmentation and tracking algorithms. With 21 participating algorithms and a data repository consisting of 13 data sets from various microscopy modalities, the challenge displays today's state-of-the-art methodology in the field. We analyzed the challenge results using performance measures for segmentation and tracking that rank all participating methods. We also analyzed the performance of all of the algorithms in terms of biological measures and practical usability. Although some methods scored high in all technical aspects, none obtained fully correct solutions. We found that methods that either take prior information into account using learning strategies or analyze cells in a global spatiotemporal video context performed better than other methods under the segmentation and tracking scenarios included in the challenge.
Databáze: MEDLINE
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