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Scanning Probe Recognition Microscopy Investigation of the Elastic Properties of Tissue Scaffolding

Published online by Cambridge University Press:  01 February 2011

Q. Chen
Affiliation:
Michigan State University, East Lansing, MI 48824
Y. Fan
Affiliation:
Michigan State University, East Lansing, MI 48824
V. M. Ayres
Affiliation:
Michigan State University, East Lansing, MI 48824
L. Udpa
Affiliation:
Michigan State University, East Lansing, MI 48824
M. S. Schindler
Affiliation:
Michigan State University, East Lansing, MI 48824
A. F. Rice
Affiliation:
Veeco Metrology Group, Santa Barbara, CA 93117
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Abstract

Scanning Probe Recognition Microscopy is a new scanning probe capability under development within our group to reliably return to and directly interact with a specific nanoscale feature of interest, without the use of a zoom box with its thermal drift and local origin difficulties. It is a recognition-driven and learning approach, made possible through combining SPM piezoelectric implementation with on-line image processing and dynamically adaptive learning algorithms. Segmentation plus a recognized pattern is implemented within a scan plan and used to guide the tip in a recognition-driven return to a specific site.

The specific application focus of our group is on the development of Scanning Probe Recognition Microscopy for nanobiological investigations. In the present work, Scanning Probe Recognition Microscopy is used in a direct investigation of the surface and elastic properties along individual tubules within a tissue scaffolding matrix. Elastic properties are indicated as important influences on actin polymerization and consequent cell pseudopodia extension and contraction.

Type
Research Article
Copyright
Copyright © Materials Research Society 2005

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References

REFERENCES

1. Chen, Q., Ayres, V. and Udpa, L., “Biological Investigation Using Scanning Probe Recognition Microscopy”, Proceedings 3rd IEEE Conference on Nanotechnology, vol. 2, p 863865 (2003).Google Scholar
2. Chen, Q., Udpa, L., Schindler, M. S., Berger, C. and Ayres, V. M., “Scanning Probe Recognition Microscopy Investigation of Cells on Scaffolding”, Mat. Res. Soc. Symp. Proc. Vol. EXS-1: Architecture and Applications of Biomaterials and Biomolecular Materials, ISBN: 1–55899–745–8, Ed. Plant, A., Chilkoti, A., Barron, A.E. and Wong, J., 2004, The Materials Research Society, Warrendale, PA (2004), pp. 143145.Google Scholar
3. Goolsby, B., Chen, Q., Udpa, L., Fan, Y., Samona, R., Bhooravan, B., Salam, F. M., Wang, D. H., and Ayres, V. M., “Scanning Probe Microscopy with Landmark Referenced Control For Direct Biological Investigations”, J. Nanosci. Nanotech., vol. 3, no. 4, p347350 (2003).Google Scholar
4. A-Hassan, E., Heinz, W.F., Antonik, M.D., D'Costa, N.P., Nagaswaran, S., Schoenenberger, C.A., and Hoh, J.H.Relative Micro-Elastic Mapping of Living Cells by Atomic Force MicroscopyBiophysical Journal, vol. 74, no. 3, p 15641578 (1998).Google Scholar
5. Radmacher, M., “Measuring the elastic properties of biological samples with the AFM”, IEEE Eng Med Biol, vol. 16, p4757 (1997).Google Scholar
6. Haga, H., Sasaki, S., Kawabata, K., Ito, E., Ushiki, T., Sambongi, T., Ultramicroscopy, “Elasticity mapping of living fibroblasts by AFM and immunofluorescence observation of the cytoskeleton”, vol. 82, p253–25 (2000).Google Scholar
7. Hoh, J.H, Heinz, W.F, A-Hassan, E. “Force Volume” Support Note No. 240 Digital Instruments. (1997)Google Scholar
8. Pratt, William K., Digital Image Processing, Wiley-Interscience Publication, Second Edition, CA (1991).Google Scholar
9. Gonzales, R.C. and Woods, R.E, Digital Image Processing, Addison-Welsley, (1993).Google Scholar