Fig. 5: Comparison of the unmasked map-model FSC-0.5 and Q-score on the test set of 25 pairs of half-maps.
From: Improvement of cryo-EM maps by simultaneous local and non-local deep learning
a, c Box-whisker plots of unmasked map-model FSC-0.5 (a) and Q-score (c) for the average maps of half-maps and the maps processed by DeepEMhancer, LocScale, LocSpiral, phenix.auto_sharpen, phenix.resolve_cryo_em (density modification), and EMReady (n = 25 individual test cases). The center line is the median, the cross is the mean, lower and upper hinges represent the first and third quartile, the whiskers stretch to 1.5 times the interquartile range from the corresponding hinge, and the outliers are plotted as diamonds. Dashed lines stand for the average values of deposited half-maps. b, d Comparison of unmasked FSC-0.5 (b) and Q-score (d) between the deposited and processed maps on each test case. Source data are provided as a Source Data file.
