Ab initio resolution measurement for single particle structures

Duncan Sousa; Nikolaus Grigorieff

doi:10.1016/j.jsb.2006.08.003

Ab initio resolution measurement for single particle structures

Duncan Sousa, Nikolaus Grigorieff

Research output: Contribution to journal › Article › peer-review

88 Scopus citations

Abstract

A computational method is described that allows the measurement of the signal-to-noise ratio and resolution of a three-dimensional structure obtained by single particle electron microscopy and reconstruction. The method does not rely on the availability of the original image data or the calculation of several structures from different parts of the data that are needed for the commonly used Fourier Shell Correlation criterion. Instead, the correlation between neighboring Fourier pixels is calculated and used to distinguish signal from noise. The new method has been conveniently implemented in a computer program called RMEASURE and is available to the microscopy community.

Original language	English (US)
Pages (from-to)	201-210
Number of pages	10
Journal	Journal of Structural Biology
Volume	157
Issue number	1
DOIs	https://doi.org/10.1016/j.jsb.2006.08.003
State	Published - Jan 2007
Externally published	Yes

Keywords

Electron microscopy
Protein structure
RMEASURE
Resolution measurement
Single particle

ASJC Scopus subject areas

Structural Biology

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10.1016/j.jsb.2006.08.003

Cite this

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title = "Ab initio resolution measurement for single particle structures",

abstract = "A computational method is described that allows the measurement of the signal-to-noise ratio and resolution of a three-dimensional structure obtained by single particle electron microscopy and reconstruction. The method does not rely on the availability of the original image data or the calculation of several structures from different parts of the data that are needed for the commonly used Fourier Shell Correlation criterion. Instead, the correlation between neighboring Fourier pixels is calculated and used to distinguish signal from noise. The new method has been conveniently implemented in a computer program called RMEASURE and is available to the microscopy community.",

keywords = "Electron microscopy, Protein structure, RMEASURE, Resolution measurement, Single particle",

author = "Duncan Sousa and Nikolaus Grigorieff",

note = "Funding Information: Inspiring discussions with Pawel Penczek are gratefully acknowledged. The authors are grateful to Montserrat Sams{\'o} for making the reconstruction of the ryanodine receptor available. N.G. gratefully acknowledges financial support by the National Institutes of Health, Grant 1 P01 GM-62580, and by a research fellowship from the Humboldt Foundation. The authors were also supported by Grant 1 R01 GM-63012.",

year = "2007",

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doi = "10.1016/j.jsb.2006.08.003",

language = "English (US)",

volume = "157",

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journal = "Journal of Structural Biology",

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AU - Sousa, Duncan

AU - Grigorieff, Nikolaus

N1 - Funding Information: Inspiring discussions with Pawel Penczek are gratefully acknowledged. The authors are grateful to Montserrat Samsó for making the reconstruction of the ryanodine receptor available. N.G. gratefully acknowledges financial support by the National Institutes of Health, Grant 1 P01 GM-62580, and by a research fellowship from the Humboldt Foundation. The authors were also supported by Grant 1 R01 GM-63012.

PY - 2007/1

Y1 - 2007/1

N2 - A computational method is described that allows the measurement of the signal-to-noise ratio and resolution of a three-dimensional structure obtained by single particle electron microscopy and reconstruction. The method does not rely on the availability of the original image data or the calculation of several structures from different parts of the data that are needed for the commonly used Fourier Shell Correlation criterion. Instead, the correlation between neighboring Fourier pixels is calculated and used to distinguish signal from noise. The new method has been conveniently implemented in a computer program called RMEASURE and is available to the microscopy community.

AB - A computational method is described that allows the measurement of the signal-to-noise ratio and resolution of a three-dimensional structure obtained by single particle electron microscopy and reconstruction. The method does not rely on the availability of the original image data or the calculation of several structures from different parts of the data that are needed for the commonly used Fourier Shell Correlation criterion. Instead, the correlation between neighboring Fourier pixels is calculated and used to distinguish signal from noise. The new method has been conveniently implemented in a computer program called RMEASURE and is available to the microscopy community.

KW - Electron microscopy

KW - Protein structure

KW - RMEASURE

KW - Resolution measurement

KW - Single particle

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JF - Journal of Structural Biology

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Ab initio resolution measurement for single particle structures

Abstract

Keywords

ASJC Scopus subject areas

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