- Conference date: 17–19 December 2007
- Location: Gold Coast, Queensland (Australia)
Optical microscopy is becoming an important technique in drug discovery and life science research. In this paper, we propose a fully automated system for quantifying, analyzing cell‐cycle behaviors of cancer cells. We propose an adaptive thresholding and a cell detection algorithm for cell nuclei segmentation. A migration and size based tracking method is employed to reconstruct the traces of nuclei. Based on the context information, the phases of cell nuclei are identified using a Markov model. Experimental results show the proposed system is effective for nuclei segmentation and phase identification.
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