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Given the time lapse images of human Neuro Stem Cells (hNSC) marked by fluorescent proteins, that are obtained from a confocal laser microscope, we present algorithms to identify, segment, track, and estimate statistical parameters of the cells. The structure of these cells are quite complex and irregular, which makes segmentation and tracking even more challenging. We use a novel combination of Difference...
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