2005Unser SSNR

Citation

Unser, M.; Sorzano, C. O. S.; Thévenaz, P.; Jonic, S.; El-Bez, C.; De Carlo, S.; Conway, J. & Trus, B. L. Spectral Signal-to-Noise Ratio and resolution assessment of 3D reconstructions J. Structural Biology, 2005, 149, 243-255

Cited by

Abstract

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.

Keywords

SSNR, Resolution measure, VSSNR

Links

Article http://www.ncbi.nlm.nih.gov/pubmed/15721578

Related software

Xmipp: http://xmipp.cnb.csic.es/twiki/bin/view/Xmipp/SSNR