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The spectral signal-to-noise ratio resolution criterion: computational efficiency and statistical precision.

Authors
  • Unser, M1
  • Trus, B L
  • Frank, J
  • Steven, A C
  • 1 Biomedical Engineering and Instrumentation Branch, National Institutes of Health, Bethesda, Maryland 20892.
Type
Published Article
Journal
Ultramicroscopy
Publisher
Elsevier
Publication Date
Jan 01, 1989
Volume
30
Issue
3
Pages
429–433
Identifiers
PMID: 2800044
Source
Medline
License
Unknown

Abstract

This note describes a practical improvement in the computational efficiency of the spectral signal-to-noise ratio (SSNR) resolution criterion for correlation-averaged images. The total set of N images is randomly partitioned into ng subsets, each subset is separately averaged, and a reduced form of the SSNR is computed from these average images. In general, larger values of ng achieve lower statistical uncertainty, while smaller values of ng are computationally more expedient. It is shown that, for negatively stained data, a judicious compromise is achieved with 10 less than or equal to ng less than or equal to 20, regardless of how large N may be.

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