| Resolution measures in molecular electron microscopy. | |
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MedLine Citation:
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PMID: 20888958 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Resolution measures in molecular electron microscopy provide means to evaluate quality of macromolecular structures computed from sets of their two-dimensional (2D) line projections. When the amount of detail in the computed density map is low there are no external standards by which the resolution of the result can be judged. Instead, resolution measures in molecular electron microscopy evaluate consistency of the results in reciprocal space and present it as a one-dimensional (1D) function of the modulus of spatial frequency. Here we provide description of standard resolution measures commonly used in electron microscopy. We point out that the organizing principle is the relationship between these measures and the spectral signal-to-noise ratio (SSNR) of the computed density map. Within this framework it becomes straightforward to describe the connection between the outcome of resolution evaluations and the quality of electron microscopy maps, in particular, the optimum filtration, in the Wiener sense, of the computed map. We also provide a discussion of practical difficulties of evaluation of resolution in electron microscopy, particularly in terms of its sensitivity to data processing operations used during structure determination process in single particle analysis and in electron tomography (ET). |
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Authors:
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Pawel A Penczek |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural |
Journal Detail:
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Title: Methods in enzymology Volume: 482 ISSN: 1557-7988 ISO Abbreviation: Meth. Enzymol. Publication Date: 2010 |
Date Detail:
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Created Date: 2010-10-04 Completed Date: 2011-01-19 Revised Date: 2013-05-27 |
Medline Journal Info:
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Nlm Unique ID: 0212271 Medline TA: Methods Enzymol Country: United States |
Other Details:
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Languages: eng Pagination: 73-100 Citation Subset: IM |
Copyright Information:
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Copyright © 2010 Elsevier Inc. All rights reserved. |
Affiliation:
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Department of Biochemistry and Molecular Biology, The University of Texas, Houston Medical School, Houston, Texas, USA. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Electron Microscope Tomography Microscopy, Electron / methods* Models, Theoretical |
| Grant Support | |
ID/Acronym/Agency:
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R01 GM 60635/GM/NIGMS NIH HHS; R01 GM060635-13/GM/NIGMS NIH HHS |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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