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Proceedings Paper

Image reconstruction in electron microscopy
Author(s): Yili Zheng; Seunghee Lee; Peter C. Doerschuk
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Paper Abstract

Maximum likelihood statistical algorithms are described for estimating the 3-D variation of the electron scattering intensity of biological objects from cryo electron microscopy images of multiple instances of the object. Three virus objects, two spherical and one helical, are considered. Solution of the maximum likelihood problem by expectation maximization algorithms or by direct maximization of the log likelihood requires large scale computing and end-to-end codesign of biological problem formulation, statistical models, algorithms, and software design and implementation have contributed to achieving practical results.

Paper Details

Date Published: 5 September 2008
PDF: 12 pages
Proc. SPIE 7076, Image Reconstruction from Incomplete Data V, 70760G (5 September 2008); doi: 10.1117/12.801717
Show Author Affiliations
Yili Zheng, Purdue Univ. (United States)
Seunghee Lee, Purdue Univ. (United States)
Peter C. Doerschuk, Cornell Univ. (United States)
Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 7076:
Image Reconstruction from Incomplete Data V
Philip J. Bones; Michael A. Fiddy; Rick P. Millane, Editor(s)

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