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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)
Department机器人学研究室
Conference Name11th World Congress on Intelligent Control and Automation (WCICA 2014)
Conference DateJune 29 - July 4, 2014
Conference PlaceShenyang, China
Source PublicationProceeding of the 11th World Congress on Intelligent Control and Automation
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2014
Pages5646-5651
Indexed ByEI ; CPCI(ISTP)
EI Accession number20152600977875
WOS IDWOS:000393066205125
Contribution Rank1
ISBN978-1-4799-5825-2
KeywordOptically-induced Electrokinetics Automated System Cell Behavior Image Processing Pattern Recognition
AbstractCell 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. 
Language英语
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Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/15380
Collection机器人学研究室
Corresponding AuthorLiu LQ(刘连庆); Wang WX(王文学)
Affiliation1.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
Recommended Citation
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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