In scientific imaging, the two-dimensional spectral signal-to-noise ratio (SSNR) is a signal-to-noise ratio measure which measures the normalised cross-correlation coefficient between several two-dimensional images over corresponding rings in Fourier space as a function of spatial frequency.[1] It is a multi-particle extension of the Fourier ring correlation (FRC), which is related to the Fourier shell correlation. The SSNR is a popular method for finding the resolution of a class average in cryo-electron microscopy.
Calculation[edit]
where is the complex structure factor for image for a pixel at radius . It is possible convert the SSNR into an equivalent FRC using the following formula:
See also[edit]
Notes[edit]
References[edit]
- Unser, M.; Trus, B.L.; Steven, A.C. (1987). "A New Resolution Criterion Based on Spectral Signal-To-Noise Ratios". Ultramicroscopy. 23 (1): 39–51. doi:10.1016/0304-3991(87)90225-7. PMID 3660491.
- Harauz, G.; M. van Heel (1986). "Exact filters for general geometry three dimensional reconstruction". Optik. 73: 146–156.
- van Heel, M. (1982). "Detection of objects in quantum-noise limited images". Ultramicroscopy. 8 (4): 331–342. doi:10.1016/0304-3991(82)90258-3.
- Saxton, W.O.; W. Baumeister (1982). "The correlation averaging of a regularly arranged bacterial cell envelope protein". Journal of Microscopy. 127 (2): 127–138. doi:10.1111/j.1365-2818.1982.tb00405.x. PMID 7120365. S2CID 27206060.
- Böttcher, B.; Wynne, S.A.; Crowther, R.A. (1997). "Determination of the fold of the core protein of hepatitis B virus by electron microscopy". Nature. 386 (6620): 88–91. doi:10.1038/386088a0. PMID 9052786. S2CID 275192.
- Frank, Joachim (2006). Three-Dimnsional Electron Microscopy of Macromolecular Assemblies. New York: Oxford University Press. ISBN 0-19-518218-9.
- van Heel, M.; Schatz, M. (2005). "Fourier shell correlation threshold criteria". Journal of Structural Biology. 151 (3): 250–262. doi:10.1016/j.jsb.2005.05.009. PMID 16125414.