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.
|Number of pages||1|
|Publication status||Published - 2012|
|Event||International Computer Vision Summer School (ICVSS 2012) - Sicily, Italy|
Duration: 15 Jul 2012 → 21 Jul 2012
|Seminar||International Computer Vision Summer School (ICVSS 2012)|
|Period||15/07/2012 → 21/07/2012|