By Topic

Automatic suspended cell injection under vision and force control biomanipulation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Haibo Huang ; Dept. of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong, Hong Kong ; Dong Sun ; Mills, J.K. ; Cheng, S.H.

Biological cell injection is laborious work which requires lengthy training and suffers from a low success rate. Although the development of biomanipulation technology has enabled steps towards automation of adherent cell injection, the automation of suspended cell injection remains a significant challenge. In this paper, a prototype cell injection system for automatic batch injection of suspended cells is proposed. To facilitate the process, these suspended cells are held and fixed by a specially designed cell holding device. A micropipette equipped with a PVDF micro force sensor is integrated in the proposed system. A force sensor is utilized to measure real time injection force applied to the cells during the injection process. With the force feedback provided by the PVDF micro force sensor, the motion of the injecting pipette during insertion, which cannot be directly observed by the microscope, is controlled utilizing the calibrated desired injection force trajectory. A vision and force algorithm is then proposed and applied to the motion control of the injection pipette in three-coordinate directions during an "out-of-plane" cell injection process. Finally, experimental results are given to demonstrate the effectiveness of the proposed approach.

Published in:

Robotics and Biomimetics, 2007. ROBIO 2007. IEEE International Conference on

Date of Conference:

15-18 Dec. 2007