Objective comparison of particle tracking methods

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

• NS
  National Science Foundation
• IE
  Infrastructures en Biologie Santé et Agronomie
• EC
  European Commission

  Award: FP7 ICT
• AN
  Agence Nationale de la Recherche

  Awards: ANR-10-INBS-04, 10-LABX-62-IBEID, ANR-10-INBS-04-06, ANR-10-LABX-62-IBEID, ANR-10, ANR-10-LABX-62
• SN
  Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

  Awards: 132396, CRSII3-132396/1, 10379
• KF
  Kommission für Technologie und Innovation
• BF
  Bundesministerium für Bildung und Forschung
• MD
  Ministerio de Economía y Competitividad
• V
  Vetenskapsrådet
• MO
  Ministry of Education, India
• CN
  Centre National de la Recherche Scientifique

  Awards: 10-LABX-62-IBEID, ANR-10-LABX-62
• ZU
  Zhejiang University
• NI
  National Institutes of Health
• SV
  Stichting voor de Technische Wetenschappen

  Award: 10379
• FR
  Fundamental Research Funds for the Central Universities
• FI
  FP7 Information and Communication Technologies