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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.


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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",
JOURNAL="Ultramicroscopy",
YEAR="1989",
volume="30",
number="3",
pages="429--434",
month="July-August",
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