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Microscopic Cell Segmentation and Dead Cell Detection Based on CFSE and PI Images by Using Distance and Watershed Transforms

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3 Author(s)
Cheng, E.D. ; Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia ; Challa, S. ; Chakravorty, R.

Automatic cell segmentation and dead cell detection in microscopic images play a very important role in the study of the behaviour of lymphocytes. In this paper, a distance and watershed transforms based cell segmentation algorithm has been proposed to segment cells by using CFSE image, and a dead cell detection algorithm is also proposed to detect cell dead event. Experimental results have shown that the proposed algorithms are pretty robust to variable contrast microscopy image data, and variable cell densities, and the average cell detection rate has reached 93% with the average miss detection rate about 7%, and extremely low average false detection rate of 0.7%, and the dead cell rate is about 11%.

Published in:

Digital Image Computing: Techniques and Applications, 2009. DICTA '09.

Date of Conference:

1-3 Dec. 2009