title: TLM-Tracker: software for cell segmentation, tracking and lineage analysis in time-lapse microscopy movies.
abstract: BACKGROUND
  Time-lapse imaging in combination with fluorescence microscopy techniques enable the investigation of gene regulatory circuits and uncovered phenomena like culture heterogeneity. In this context, computational image processing for the analysis of single cell behaviour plays an increasing role in systems biology and mathematical modelling approaches. Consequently, we developed a software package with graphical user interface for the analysis of single bacterial cell behaviour.
  
  
  RESULTS
  A new software called TLM-Tracker allows for the flexible and user-friendly interpretation for the segmentation, tracking and lineage analysis of microbial cells in time-lapse movies.
  
  
  BACKGROUND
  The software package, including manual, tutorial video and examples, is available as Matlab code or executable binaries at http://www.tlmtracker.tu-bs.de.
authors: Institute of Microbiology, Technische Universität Braunschweig, Braunschweig, Germany.
authors: Johannes
authors: J
authors: Klein
authors: Stefan
authors: S
authors: Leupold
authors: Ilona
authors: I
authors: Biegler
authors: Rebekka
authors: R
authors: Biedendieck
authors: Richard
authors: R
authors: Münch
authors: Dieter
authors: D
authors: Jahn
mesh_terms: D001410:Bacillus megaterium / Q000166:cytology / Q000378:metabolism; D049452:Green Fluorescent Proteins / Q000096:biosynthesis / Q000737:chemistry; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008856:Microscopy, Fluorescence / Q000379:methods*; D018715:Microscopy, Video / Q000379:methods*; D008954:Models, Biological; D008962:Models, Theoretical; D059010:Single-Cell Analysis / Q000379:methods*; D012984:Software; D059008:Time-Lapse Imaging / Q000379:methods*
chemical_list: D049452:Green Fluorescent Proteins