Anyone willing to summarize Xtriage's algorithm that determines whether "anisotropic induced noise amplification" is present in diffraction data? What is this noise amplification? Is it anisotropic correction factors that over-fit the data thereby inducing noise? Many thanks, Jim T ---------------- Anisotropy analyses ---------------- Anisotropy ( [MaxAnisoB-MinAnisoB]/[MaxAnisoB] ) : 3.596e-01 Anisotropic ratio p-value : 0.000e+00 The p-value is a measure of the severity of anisotropy as observed in the PDB. The p-value of 0.000e+00 indicates that roughly 100.0 % of datasets available in the PDB have an anisotropy equal to or worse than this dataset. For the resolution shell spanning between 2.36 - 2.20 Angstrom, the mean I/sigI is equal to 3.37. 42.2 % of these intensities have an I/sigI > 3. When sorting these intensities by their anisotropic correction factor and analysing the I/sigI behavior for this ordered list, we can gauge the presence of 'anisotropy induced noise amplification' in reciprocal space. The quarter of Intensities *least* affected by the anisotropy correction show : 3.82e+00 Fraction of I/sigI > 3 : 5.01e-01 ( Z = 3.59 ) The quarter of Intensities *most* affected by the anisotropy correction show : 2.02e+00 Fraction of I/sigI > 3 : 1.84e-01 ( Z = 10.78 ) The combined Z-score of 11.36 indicates that there probably is significant systematic noise amplification that could possibly lead to artefacts in the maps or difficulties in refinement