By Topic

Mechanical modeling characterization of biological cells using microrobotics cell injection test bed

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

3 Author(s)
Youhua Tan ; Control & Mechatron. Group, City Univ. of Hong Kong, Suzhou, China ; Dong Sun ; Wenhao Huang

Mechanical properties of biological cells play an important role in regulating cellular functions. Some micromanipulation methods have been reported in the literature to measure cell mechanics, but they are either high-costly or difficultly-operated. This paper presents our approach to use microrobotic cell injection technology as the test bed to characterize the mechanical properties of biological cells, by virtue of low cost and easy operation. By extending our previous work [41], we develop a mechanical model to interpret the mechanical responses during microinjection and extract the cells properties. Both finite element analysis and microinjection experiments are performed to verify the mechanical model. It is shown that the results obtained from the proposed mechanical model agree well with that obtained from finite element analysis and the experiments. Elastic moduli of zebrafish embryos at different developmental stages are characterized. This demonstrates not only the validity of the proposed model but also the fact that the microrobotic cell injection technology combining with the mechanical model can be used to characterize the mechanical properties of biological cells.

Published in:

Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on

Date of Conference:

10-15 Oct. 2009