title: CellTracker (not only) for dummies.
abstract: Time-lapse experiments play a key role in studying the dynamic behavior of cells. Single-cell tracking is one of the fundamental tools for such analyses. The vast majority of the recently introduced cell tracking methods are limited to fluorescently labeled cells. An equally important limitation is that most software cannot be effectively used by biologists without reasonable expertise in image processing. Here we present CellTracker, a user-friendly open-source software tool for tracking cells imaged with various imaging modalities, including fluorescent, phase contrast and differential interference contrast (DIC) techniques.
  
  
  
  CellTracker is written in MATLAB (The MathWorks, Inc., USA). It works with Windows, Macintosh and UNIX-based systems. Source code and graphical user interface (GUI) are freely available at: http://celltracker.website/
  
  
  
  horvath.peter@brc.mta.hu
  
  
  
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Advanced Research Center on Electronic Systems for Information and Communication Technologies "E. De Castro" (ARCES), University of Bologna, I-40125 Bologna, Italy.
authors.forename: Filippo
authors.initials: F
authors.lastname: Piccinini
authors.affiliation: Advanced Research Center on Electronic Systems for Information and Communication Technologies "E. De Castro" (ARCES), University of Bologna, I-40125 Bologna, Italy.
authors.forename: Alexa
authors.initials: A
authors.lastname: Kiss
authors.affiliation: Synthetic and System Biology Unit, Hungarian Academia of Sciences, Biological Research Center (BRC), H-6726 Szeged, Hungary and Institute for Molecular Medicine Finland, University of Helsinki, FI-00014 Helsinki, Finland.
authors.forename: Peter
authors.initials: P
authors.lastname: Horvath
mesh_terms: D007091:Image Processing, Computer-Assisted; D012984:Software