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Three-Dimensional Electron Microscopy of Macromolecular AssembliesVisualization of Biological Molecules in Their Native State$
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Joachim Frank

Print publication date: 2006

Print ISBN-13: 9780195182187

Published to Oxford Scholarship Online: April 2010

DOI: 10.1093/acprof:oso/9780195182187.001.0001

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Two-Dimensional Averaging Techniques

Two-Dimensional Averaging Techniques

Chapter:
(p.71) 3 Two-Dimensional Averaging Techniques
Source:
Three-Dimensional Electron Microscopy of Macromolecular Assemblies
Author(s):

Joachim Frank

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195182187.003.0003

This chapter starts by listing the common sources of noise in the EM and how they can be addressed by averaging techniques. Conditions for digital sampling, or for the representation of an effectively continuous image by an array of discrete density measurements, are discussed. The concept of image alignment is defined, and alignment is introduced as a precondition for averaging as well as for making any meaningful comparison of experimental images. The cross-correlation function is then introduced as one of the most important tools to achieve alignment. Averages of aligned images are characterized by statistical measures such as variance and signal-to-noise ratio. Measures of resolution are introduced based on a comparison, in Fourier space, of two independent averages from halfsets of the data. Among these are the differential phase residual and the Fourier ring correlation. The chapter ends with a discussion of the resolution-limiting factors, and with an outline of rank sum analysis, a method of statistical validation.

Keywords:   alignment, cross-correlation function, differential phase residual, digital sampling, Fourier ring correlation, noise, rank sum analysis, signal-to-noise ratio, variance

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