Title :
Visual-Based Impedance Control of Out-of-Plane Cell Injection Systems
Author :
Huang, Haibo ; Sun, Dong ; Mills, James K. ; Li, Wen J. ; Cheng, Shuk Han
Author_Institution :
Dept. of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong, Kowloon, China
fDate :
7/1/2009 12:00:00 AM
Abstract :
In this paper, a vision-based impedance control algorithm is proposed to regulate the cell injection force, based on dynamic modeling conducted on a laboratory test-bed cell injection system. The injection force is initially calibrated to derive the relationship between the force and the cell deformation utilizing a cell membrane point-load model. To increase the success rate of injection, the injector is positioned out of the focal plane of the camera, used to obtain visual feedback for the injection process. In this out-of-plane injection process, the total cell membrane deformation is estimated, based on the X-Y coordinate frame deformation of the cell, as measured with a microscope, and the known angle between the injector and the X-Y plane. Further, a relationship between the injection force and the injector displacement of the cell membrane, as observed with the camera, is derived. Based on this visual force estimation scheme, an impedance control algorithm is developed. Experimental results of the proposed injection method are given which validate the approach.
Keywords :
cellular biophysics; force feedback; medical robotics; microrobots; cell deformation; cell injection force; cell membrane deformation; injection success rate; injector displacement; out-of-plane cell injection systems; out-of-plane injection process; visual feedback; visual force estimation scheme; visual-based impedance control; Biomanipulation; cell injection; impedance control; microrobotic system;
Journal_Title :
Automation Science and Engineering, IEEE Transactions on
DOI :
10.1109/TASE.2008.2010013