TY - GEN
T1 - A novel cell tracking algorithm and continuous hidden Markov model for cell phase identification
AU - Zhou, Xiaobo
AU - Yang, Jun
AU - Wang, Meng
AU - Wong, Stephen T.
PY - 2006
Y1 - 2006
N2 - Time-lapse microscopy cell imaging is attracting more and more attentions due to its potential in achieving new and high throughput ways to conduct drug discovery and quantitative cellular studies. However, the lacking of effective automatic systems for studying a large population of cell nuclei is limiting the application of it. In this paper, we propose a novel Hybrid Merging algorithm for cell nuclei segmentation and propose a novel Favorite Matching phis Local Tree Matching algorithm to track dynamic behaviors of a large population of cell nuclei in time-lapse microscopy. And then we propose to identify the phases of cell nuclei using context information of tracks by continuous Hidden Markov Model Experimental results show the whole proposed system is very effective for time-lapse microscopy cell imaging segmentation, tracking and cell phase identification.
AB - Time-lapse microscopy cell imaging is attracting more and more attentions due to its potential in achieving new and high throughput ways to conduct drug discovery and quantitative cellular studies. However, the lacking of effective automatic systems for studying a large population of cell nuclei is limiting the application of it. In this paper, we propose a novel Hybrid Merging algorithm for cell nuclei segmentation and propose a novel Favorite Matching phis Local Tree Matching algorithm to track dynamic behaviors of a large population of cell nuclei in time-lapse microscopy. And then we propose to identify the phases of cell nuclei using context information of tracks by continuous Hidden Markov Model Experimental results show the whole proposed system is very effective for time-lapse microscopy cell imaging segmentation, tracking and cell phase identification.
UR - http://www.scopus.com/inward/record.url?scp=42749108221&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=42749108221&partnerID=8YFLogxK
U2 - 10.1109/LSSA.2006.250403
DO - 10.1109/LSSA.2006.250403
M3 - Conference contribution
AN - SCOPUS:42749108221
SN - 1424402786
SN - 9781424402786
T3 - 2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006
BT - 2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006
T2 - 2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006
Y2 - 13 July 2006 through 14 July 2006
ER -