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Spectral Signal-to-Noise Ratio and Resolution Assessment of 3D Reconstructions

M. Unser, C.O.S. Sorzano, P. Thévenaz, S. Jonić, C. El-Bez, S. De Carlo, J.F. Conway, B.L. Trus

Journal of Structural Biology, vol. 149, no. 3, pp. 243-255, March 2005.


Measuring the quality of three-dimensional (3D) reconstructed biological macromolecules by transmission electron microscopy is still an open problem. In this article, we extend the applicability of the spectral signal-to-noise ratio (SSNR) to the evaluation of 3D volumes reconstructed with any reconstruction algorithm. The basis of the method is to measure the consistency between the data and a corresponding set of reprojections computed for the reconstructed 3D map. The idiosyncrasies of the reconstruction algorithm are taken explicitly into account by performing a noise-only reconstruction. This results in the definition of a 3D SSNR which provides an objective indicator of the quality of the 3D reconstruction. Furthermore, the information to build the SSNR can be used to produce a volumetric SSNR (VSSNR). Our method overcomes the need to divide the data set in two. It also provides a direct measure of the performance of the reconstruction algorithm itself; this latter information is typically not available with the standard resolution methods which are primarily focused on reproducibility alone.

@ARTICLE(http://bigwww.epfl.ch/publications/unser0501.html,
AUTHOR="Unser, M. and S{\'{a}}nchez Sorzano, C.{\'{O}}. and
	Th{\'{e}}venaz, P. and Joni{\'{c}}, S. and El-Bez, C. and De Carlo,
	S. and Conway, J.F. and Trus, B.L.",
TITLE="Spectral Signal-to-Noise Ratio and Resolution Assessment of 3D
	Reconstructions",
JOURNAL="Journal of Structural Biology",
YEAR="2005",
volume="149",
number="3",
pages="243--255",
month="March",
note="")

© 2005 Elsevier. 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 Elsevier. 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.
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