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Automatic recovery of missing amplitudes and phases in tilt-limited electron crystallography of two-dimensional crystals
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 832529
Author(s) Gipson, Bryant R; Masiel, Daniel J; Browning, Nigel D; Spence, John; Mitsuoka, Kaoru; Stahlberg, Henning
Author(s) at UniBasel Stahlberg, Henning
Year 2011
Title Automatic recovery of missing amplitudes and phases in tilt-limited electron crystallography of two-dimensional crystals
Journal Physical review. E, Statistical, nonlinear and soft matter physics
Volume 84
Number 1 Pt 1
Pages / Article-Number 011916
Abstract

Electron crystallography of 2D protein crystals provides a powerful tool for the determination of membrane protein structure. In this method, data is acquired in the Fourier domain as randomly sampled, uncoupled, amplitudes and phases. Due to physical constraints on specimen tilting, those Fourier data show a vast un-sampled "missing cone" of information, producing resolution loss in the direction perpendicular to the membrane plane. Based on the flexible language of projection onto sets, we provide a full solution for these problems with a projective constraint optimization algorithm that, for sufficiently oversampled data, produces complete recovery of unmeasured data in the missing cone. We apply this method to an experimental data set of Bacteriorhodopsin and show that, in addition to producing superior results compared to traditional reconstruction methods, full, reproducible, recovery of the missing cone from noisy data is possible. Finally, we present an automatic implementation of the refinement routine as open source, freely distributed, software that will be included in our 2dx software package.

Publisher American Institute of Physicas
ISSN/ISBN 1063-651X
URL http://www.ncbi.nlm.nih.gov/pubmed/21867222
edoc-URL http://edoc.unibas.ch/dok/A6001517
Full Text on edoc No
Digital Object Identifier DOI 10.1103/PhysRevE.84.011916
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/21867222
ISI-Number WOS:000293450400006
Document type (ISI) Journal Article
 
   

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28/03/2024