Real-time modeling and control of the circular cell membranes strain
Taking changes of cells function by regulating the external mechanical environment is one of the major interests in the mechanobiology .eld. Based on extensive studies, force at nano-to-micro newton and geometric shape changes at nanoto- micrometer are the physical stimuli that can be sensed by cells. It has been postulated that controllable cell responses can be produced by activating diversity of mechanosesory proteins through physical changes of force or shape. In this paper, a real-time machine vision algorithm is proposed to improve the ef.ciency and robustness of the cell membranes strain calculation. The proposed adaptive image thresholding method with modi.ed numerical implementation is able to apply on all the images captured in the deforming process to extract the deformed cell boundary in real-time. Based on the proposed method, the cell membrane strain is modeled and controlled to deform the cell into a prede.ned deformation. It enables biologists to study the biochemical changes within the cell by providing a controllable geometric changes. It also expects that a particular cell status or function could be produced by giving a proper deformation.
mechanotransduction micromanipulation visual servoing image thresholding
Ming Li Han Yan Liang Zhang Meng Ying Yu Cheng Yap Shee Wei Tech Ang
Division of Mechatronics and Design,School of Mechanical and Aerospace Engineering,Nanyang Technological University,Singapore
国际会议
2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)
上海
英文
4115-4120
2011-05-09（万方平台首次上网日期，不代表论文的发表时间）