Rapid Solution of the Cryo-EM Reconstruction Problem by Frequency Marching
Author(s) -
Alex H. Barnett,
Leslie Greengard,
Andras Pataki,
M. A. Spivak
Publication year - 2017
Publication title -
siam journal on imaging sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.944
H-Index - 71
ISSN - 1936-4954
DOI - 10.1137/16m1097171
Subject(s) - algorithm , iterative reconstruction , computer science , projection (relational algebra) , offset (computer science) , cryo electron microscopy , marching cubes , computer vision , artificial intelligence , physics , visualization , programming language , nuclear magnetic resonance
Determining the three-dimensional (3D) structure of proteins and protein complexes at atomic resolution is a fundamental task in structural biology. Over the last decade, remarkable progress has been made using “single particle” cryo-electron microscopy (cryo-EM) for this purpose. In cryo-EM, hundreds of thousands of two-dimensional (2D) images are obtained of individual copies of the same particle, each held in a thin sheet of ice at some unknown orientation. Each image corresponds to the noisy projection of the particleu0027s electron-scattering density. The reconstruction of a high-resolution image from this data is typically formulated as a nonlinear, nonconvex optimization problem for unknowns which encode the angular pose and lateral offset of each particle. Since there are hundreds of thousands of such parameters, this leads to a very CPU-intensive task---limiting both the number of particle images which can be processed and the number of independent reconstructions which can be carried out for the pur...
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