Biomedical Imaging GroupSTI
English only   BIG > Publications > Spectral Resolution Criterion

 Home Page
 News & Events
 Tutorials and Reviews
 Download Algorithms

 All BibTeX References

The Spectral Signal-To-Noise Ratio Resolution Criterion: Computational Efficiency and Statistical Precision

M. Unser, B.L. Trus, J.A. Frank, A.C. Steven

Ultramicroscopy, vol. 30, no. 3, pp. 429-434, July-August 1989.

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 ≤ ng ≤ 20, regardless of how large N may be.

AUTHOR="Unser, M. and Trus, B.L. and Frank, J.A. and Steven, A.C.",
TITLE="The Spectral Signal-To-Noise Ratio Resolution Criterion:
        {C}omputational Efficiency and Statistical Precision",

© 1989 Ultramicroscopy. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from Ultramicroscopy.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.