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Automated Recognition and Measurement of Cell Morphology on Optically-induced Electrokinetic Patterning Chip
Xie YP(谢艳鹏); Liu N(刘娜); Yu P(于鹏); Liu LQ(刘连庆); Wang WX(王文学); Wang XL(王秀莲)
作者部门机器人学研究室
会议名称11th World Congress on Intelligent Control and Automation (WCICA 2014)
会议日期June 29 - July 4, 2014
会议地点Shenyang, China
会议录名称Proceeding of the 11th World Congress on Intelligent Control and Automation
出版者IEEE
出版地Piscataway, NJ, USA
2014
页码5646-5651
收录类别EI ; CPCI(ISTP)
EI收录号20152600977875
WOS记录号WOS:000393066205125
产权排序1
ISBN号978-1-4799-5825-2
关键词Optically-induced Electrokinetics Automated System Cell Behavior Image Processing Pattern Recognition
摘要Cell behaviors including adhesion, migration, proliferation, differentiation and apoptosis, etc. deeply influence tissue formation, regeneration, and even the function of whole tissue or entity. Optically-induced electrokinetic (OEK) patterning is an efficient method to guide cells to grow and form the desired structure on a substrate and hence becomes an effective approach to the study of cell behaviors. But recognition and measurement of large number of cells are challengeable. In this study, automated recognition and measurement of cellular geometric features on the patterned substrate using the OEK method is proposed in which the recognition of cells is realized by segmenting individual cells from the microscope image using snake computation model with dynamic programming and the geometric features such as area, perimeter, semi-major axis and orientation angle are extracted for the study of cell behaviors. The relation between the geometric features and cell behaviors has been studied. The automated system can recognize and measure the geometric features of cells rapidly, accurately and efficiently, and bring more convenience for development of biology and life science. 
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/15380
专题机器人学研究室
通讯作者Liu LQ(刘连庆); Wang WX(王文学)
作者单位1.School of Information Science and Engineering, Shenyang Ligong University, Academy of Sciences, Shenyang, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
3.School of Information Science and Engineering, Shenyang Ligong University, Shenyang, China
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GB/T 7714
Xie YP,Liu N,Yu P,et al. Automated Recognition and Measurement of Cell Morphology on Optically-induced Electrokinetic Patterning Chip[C]. Piscataway, NJ, USA:IEEE,2014:5646-5651.
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