Analyzing dynamic cellular morphology in time-lapsed images enabled by cellular deformation pattern recognition

Heng Li, Zhiwen Liu, Fengqian Pang, Zhiyi Fan, Yonggang Shi

科研成果: 书/报告/会议事项章节会议稿件同行评审

9 引用 (Scopus)

摘要

Computational analysis of cellular morphology aims to provide quantitative information of the global organizational and physiological state of cells, and has long been a major topic of biomedical research. Instead of analyzing morphology of static cells, we concentrate on live-cell deformation in a period of time. According to our observation of dynamic cell behavior, we have assumed that the pattern of cellular deformation is relevant to the cellular state. Moreover, based on our assumption an innovative approach for characterizing the deformation pattern is described and applied into cell classification. After normalizing and aligning cell image sequences, we extract the continuity of deformation at each angle through time-lapse. Then the deformation pattern is given by the histogram of the continuity of deformation. Experimental results demonstrate that the cellular deformation pattern provided by our approach can be applied to discriminate cellular activation. In addition, the deformation pattern recognition makes remarkable progress in the classification of cells.

源语言英语
主期刊名2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
出版商Institute of Electrical and Electronics Engineers Inc.
7478-7481
页数4
ISBN(电子版)9781424492718
DOI
出版状态已出版 - 4 11月 2015
活动37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, 意大利
期限: 25 8月 201529 8月 2015

出版系列

姓名Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2015-November
ISSN(印刷版)1557-170X

会议

会议37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
国家/地区意大利
Milan
时期25/08/1529/08/15

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