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Spectral signal-to-noise ratio and resolution assessment of 3D reconstructions
Spectral signal-to-noise ratio and resolution assessment of 3D reconstructions
7335
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.
Unser M, Sorzano CO, Thévenaz P, Jonić S, El-Bez C, De Carlo S, Conway JF, Trus BL
Journal of structural biology
2005-03-01 00:00
149
3
243-55
Algorithms,Image Processing, Computer-Assisted,Imaging, Three-Dimensional,Mathematics,Microscopy, Electron,Models, Theoretical
Biomedical Imaging Group, Swiss Federal Institute of Technology Lausanne, CH-1015 Lausanne VD, Switzerland.
J. Struct. Biol.
NHLBI 1R01 HL 67465-01, DCRT Z01 CT000090-25
1047-8477
10.1016/j.jsb.2004.10.011
S1047-8477(04)00204-7
0
False
15721578
