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.
where F r i , k {\displaystyle F_{r_{i},k}} is the complex structure factor for image k {\displaystyle k} for a pixel r i {\displaystyle r_{i}} at radius R {\displaystyle R} . It is possible convert the SSNR into an equivalent FRC using the following formula:
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