Spectral signal-to-noise ratio

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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.

Contents

Calculation

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

Notes

  1. Unser, Trus & Steven 1987

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