Segmentation, recognition and tracing analysis for high-content cell-cycle screening

Yu, Donggang, Pham, Tuan D., Zhou, Xiaobo, and Wong, Stephen T.C. (2007) Segmentation, recognition and tracing analysis for high-content cell-cycle screening. In: Proceedings of the 2007 International Symposium on Computational Models for Life Sciences (952) pp. 66-75. From: Computational Models for Life Sciences (CMLS '07) 2007 International Symposium, 17-19 December 2007, Queensland, Australia.

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DOI: 10.1063/1.2816645

View at Publisher Website: http://dx.doi.org/10.1063/1.2816645

Abstract

We present in this paper some new and efficient algorithms for segmentation, recognition and tracing analysis of cell phases for high-content screening. The conceptual frameworks are based on the morphological structures of cells where a series of morphological structural points are established. Furthermore, we address the issue of touching cells and then propose morphological techniques for cell separation, reconstruction and tracing analysis. The new segmentation method can resolve the question of over-segmentation. The tracing analysis of cell phases is based on cell shape, geometrical features and difference information of corresponding neighbor frames. Experiment results test the efficiency of the new method


Item ID:	3030
Item Type:	Conference Item (Research - E1)
ISBN:	978-0-7354-0466-3
Keywords:	image analysis; pattern recognition; bioinformatics; image segmentation; image recognition
Related URLs:	http://www.aip.org/
Date Deposited:	15 Oct 2009 01:38
FoR Codes:	08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 50% 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing @ 50%
SEO Codes:	89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890205 Information Processing Services (incl. Data Entry and Capture) @ 100%
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