DocumentCode :
2918224
Title :
Vision based cell strain modeling and control system
Author :
Han, Ming Li ; Zhang, Yan Liang ; Shee, Cheng Yap ; Ang, Wei Tech
Author_Institution :
Div. of Mechatron. & Design, Nanyang Technol. Univ., Singapore, Singapore
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
698
Lastpage :
703
Abstract :
Mechanical force and geometric deformation that are applied on the cell will be transduced into biomedical signals which has been known as mechanotransduction. In turn, we expect that a particular cell function could be realized by giving a specific physical stimulus to the cell. In this work, a novel cell membrane strain model for circular cell membrane under indentation is developed. Based on this model, the deformation of the cell membrane is comprehensively measured. A cell strain modeling and control system is proposed to identify the deformability of the cell membrane and control the membrane to deform into the desired profile. The system employs the visual servoing to realize the feedback control on the cell membrane. An automatic cell boundary detection scheme is utilized to effectively optimize the visual module. With the developed control scheme, cells can be stressed into prescribed deformation without the knowledge of cells mechanical properties which enables the biologist to focus on the physical change of the cell and stimulate a desired activity in the cell by implementing the proposed system.
Keywords :
cellular biophysics; deformation; indentation; medical signal processing; membranes; vision; automatic cell boundary detection scheme; biomedical signal; cell membrane strain model; cell strain modeling; circular cell membrane; control system; geometric deformation; indentation; mechanical force; mechanical properties; mechanotransduction; specific physical stimulus; vision; Biomembranes; Computer architecture; Deformable models; Embryo; Mathematical model; Microprocessors; Strain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Robotics and Biomechatronics (BioRob), 2010 3rd IEEE RAS and EMBS International Conference on
Conference_Location :
Tokyo
ISSN :
2155-1774
Print_ISBN :
978-1-4244-7708-1
Type :
conf
DOI :
10.1109/BIOROB.2010.5626095
Filename :
5626095
Link To Document :
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