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

Publication: Research - peer-reviewPoster – Annual report year: 2012

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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
StatePublished

Seminar

SeminarInternational Computer Vision Summer School (ICVSS 2012)
CountryItaly
CitySicily
Period15/07/1221/07/12
Internet addresshttp://svg.dmi.unict.it/icvss2012/
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