Large scale tracking of stem cells using sparse coding and coupled graphs

Jacob Schack Vestergaard, Anders Lindbjerg Dahl, Peter Holm, Rasmus Larsen

    Research output: Contribution to conferencePosterResearchpeer-review

    150 Downloads (Pure)

    Abstract

    Stem cell tracking is an inherently large scale problem. The challenge is to identify and track hundreds or thousands of cells over a time period of several weeks. This requires robust methods that can leverage the knowledge of specialists on the field. The tracking pipeline presented here consists of a dictionary learning method for segmentation of phase contrast microscopy images. Linking of the cells between two images is solved by a graph formulation of the tracking problem.
    Original languageEnglish
    Publication date2012
    Number of pages1
    Publication statusPublished - 2012
    EventInternational Computer Vision Summer School (ICVSS 2012) - Sicily, Italy
    Duration: 15 Jul 201221 Jul 2012
    http://svg.dmi.unict.it/icvss2012/

    Seminar

    SeminarInternational Computer Vision Summer School (ICVSS 2012)
    CountryItaly
    CitySicily
    Period15/07/201221/07/2012
    Internet address

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