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Towards Automated Mechanical Characterization of Biological Samples Using Atomic Force Microscopy (AFM)

[+] Author Affiliations
Rajarshi Roy, Jaydev P. Desai

University of Maryland, College Park, College Park, MD

Wenjin Chen, Lei Cong, David J. Foran

The Cancer Institute of New Jersey, New Brunswick, NJ

Lauri A. Goodell

Robert Wood Johnson Medical School, New Brunswick, NJ

Paper No. DSCC2011-6146, pp. 603-605; 3 pages
doi:10.1115/DSCC2011-6146
From:
  • ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control
  • ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, Volume 2
  • Arlington, Virginia, USA, October 31–November 2, 2011
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-5476-1
  • Copyright © 2011 by ASME

abstract

The mechanical properties of biomaterials have long been a subject of interest for researchers due to their potential in predicting biologically relevant questions, like proliferation of cancer in tissue. A popular technique of estimating material properties of biomaterials is the AFM, which consists of a probe that indents the material of interest. However, region localization for AFM indentation is challenging, especially when probing large sections of the tissue. Furthermore, identifying the point of contact between AFM tip and the specimen on the force-displacement curve involves uncertainties that are difficult to predict. In this work, we try to address these two issues. We use a vision-guided positioning system to achieve region localization, and we use a resistance based-electrical circuit to identify the point of contact between AFM tip and the specimen.

Copyright © 2011 by ASME

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