title: A robust algorithm for segmenting and tracking clustered cells in time-lapse fluorescent microscopy.
abstract: We present herein a robust algorithm for cell tracking in a sequence of time-lapse 2-D fluorescent microscopy images. Tracking is performed automatically via a multiphase active contours algorithm adapted to the segmentation of clustered nuclei with obscure boundaries. An ellipse fitting method is applied to avoid problems typically associated with clustered, overlapping, or dying cells, and to obtain more accurate segmentation and tracking results. We provide quantitative validation of results obtained with this new algorithm by comparing them to the results obtained from the established CellProfiler, MTrack2 (plugin for Fiji), and LSetCellTracker software.
authors: Wojciech
authors: W
authors: Tarnawski
authors: Vartan
authors: V
authors: Kurtcuoglu
authors: Paweł
authors: P
authors: Lorek
authors: Marcin
authors: M
authors: Bodych
authors: Jan
authors: J
authors: Rotter
authors: Monika
authors: M
authors: Muszkieta
authors: Łukasz
authors: Ł
authors: Piwowar
authors: Dimos
authors: D
authors: Poulikakos
authors: Michał
authors: M
authors: Majkowski
authors: Aldo
authors: A
authors: Ferrari
mesh_terms: D000465:Algorithms; D002467:Cell Nucleus / Q000502:physiology; D058948:Cell Tracking / Q000379:methods*; D006367:HeLa Cells; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008856:Microscopy, Fluorescence / Q000379:methods*; D059008:Time-Lapse Imaging / Q000379:methods*