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Proceedings Paper

Understanding stochastic biological macromolecular complexes by estimating a mechanical model via statistical mechanics from cryo electron microscopy images
Author(s): Kang Wang; Peter C. Doerschuk
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Paper Abstract

Cryo electron microscopy imaging experiments can lead to stochastic models for biological macromolecular complexes. However, interpreting the statistical variability is difficult. In some situations, the variability in the original complexes is due to primarily thermal fluctuations which are snap frozen in place by the preparation of the specimen. In this case the images are images of samples of the equilibrium statistical mechanics ensemble of the complex. Based on representing the complex by a lattice spring-mass mechanical model, an estimation problem for determining the masses and spring constants is described and demonstrated on synthetic data.

Paper Details

Date Published: 27 August 2010
PDF: 7 pages
Proc. SPIE 7800, Image Reconstruction from Incomplete Data VI, 78000Q (27 August 2010); doi: 10.1117/12.862065
Show Author Affiliations
Kang Wang, Cornell Univ. (United States)
Peter C. Doerschuk, Cornell Univ. (United States)

Published in SPIE Proceedings Vol. 7800:
Image Reconstruction from Incomplete Data VI
Philip J. Bones; Michael A. Fiddy; Rick P. Millane, Editor(s)

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