TY - GEN
T1 - An effective system for optical microscopy cell image segmentation, tracking and cell phase identification
AU - Yan, Jun
AU - Zhou, Xiaobo
AU - Yang, Qiong
AU - Liu, Ning
AU - Cheng, Qiansheng
AU - Wong, Stephen T C
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2006
Y1 - 2006
N2 - The lacking of automatic screen systems that can deal with large volume of time-lapse optical microscopy imaging is a bottleneck of modern bio-imaging research. In this paper, we propose an effective automated analytic system that can be used to acquire, track and analyze cell-cycle behaviors of a large population of cells. We use traditional watershed algorithm for cell nuclei segmentation and then a novel hybrid merging method is proposed for fragments merging. After a distance and size based tracking procedure, the performance of fragments merging is improved again by the sequence context information. At last, the cell nuclei can be classified into different phases accurately in a continuous Hidden Markov Model (HMM). Experimental results show the proposed system is very effective for cell sequence segmentation, tracking and cell phase identification.
AB - The lacking of automatic screen systems that can deal with large volume of time-lapse optical microscopy imaging is a bottleneck of modern bio-imaging research. In this paper, we propose an effective automated analytic system that can be used to acquire, track and analyze cell-cycle behaviors of a large population of cells. We use traditional watershed algorithm for cell nuclei segmentation and then a novel hybrid merging method is proposed for fragments merging. After a distance and size based tracking procedure, the performance of fragments merging is improved again by the sequence context information. At last, the cell nuclei can be classified into different phases accurately in a continuous Hidden Markov Model (HMM). Experimental results show the proposed system is very effective for cell sequence segmentation, tracking and cell phase identification.
KW - Biological systems
KW - Biomedical image processing
KW - Biomedical signal processing
UR - http://www.scopus.com/inward/record.url?scp=73849107097&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=73849107097&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2006.313143
DO - 10.1109/ICIP.2006.313143
M3 - Conference contribution
AN - SCOPUS:73849107097
SN - 1424404819
SN - 9781424404810
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1917
EP - 1920
BT - 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
T2 - 2006 IEEE International Conference on Image Processing, ICIP 2006
Y2 - 8 October 2006 through 11 October 2006
ER -