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Proceedings Paper

Cryo-electron microscopy single particle reconstruction of virus particles using compressed sensing theory
Author(s): Min Woo Kim; Jiyoung Choi; Liu Yu; Kyung Eun Lee; Sung-Sik Han; Jong Chul Ye
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Paper Abstract

Sparse object supports are often encountered in many imaging problems. For such sparse objects, recent theory of compressed sensing tells us that accurate reconstruction of objects are possible even from highly limited number of measurements drastically smaller than the Nyquist sampling limit by solving L1 minimization problem. This paper employs the compressed sensing theory for cryo-electron microscopy (cryo-EM) single particle reconstruction of virus particles. Cryo-EM single particle reconstruction is a nice application of the compressed sensing theory because of the following reasons: 1) in some cases, due to the difficulty in sample collection, each experiment can obtain micrographs with limited number of virus samples, providing undersampled projection data, and 2) the nucleic acid of a viron is enclosed within capsid composed of a few proteins; hence the support of capsid in 3-D real space is quite sparse. In order to minimize the L1 cost function derived from compressed sensing, we develop a novel L1 minimization method based on the sliding mode control theory. Experimental results using synthetic and real virus data confirm that the our algorithm provides superior reconstructions of 3-D viral structures compared to the conventional reconstruction algorithms.

Paper Details

Date Published: 28 February 2007
PDF: 9 pages
Proc. SPIE 6498, Computational Imaging V, 64981G (28 February 2007); doi: 10.1117/12.705008
Show Author Affiliations
Min Woo Kim, Korea Advanced Institute of Science and Technology (South Korea)
Jiyoung Choi, Korea Advanced Institute of Science and Technology (South Korea)
Liu Yu, Korea Advanced Institute of Science and Technology (South Korea)
Kyung Eun Lee, Korea Univ. (South Korea)
Sung-Sik Han, Korea Univ. (South Korea)
Jong Chul Ye, Korea Advanced Institute of Science and Technology (South Korea)


Published in SPIE Proceedings Vol. 6498:
Computational Imaging V
Charles A. Bouman; Eric L. Miller; Ilya Pollak, Editor(s)

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