view article
Figure 3
Schematic representation of a classical scaling algorithm. Scale factors, K, are initialized to K = 1 for each image and are iteratively optimized until convergence. The top left plot shows observed reflection intensity values on ten diffraction images; each color represents a distinct Miller index h. The middle left panel is a swarm plot of the observed reflection intensities (Ih,i) for each Miller index h. Optimal scale factors are found by iteratively merging, optimizing K and correcting the unmerged reflections from the previous iteration. The algorithm iterates until the convergence of the objective function (equation 4[link]) is achieved. The rightmost plots show the final values of the scaled intensities ([\hat{I}_{{\bf h},i}]) as a function of image number (top) or Miller indices (middle) and the optimal values of the scale factors K (bottom).

Journal logoSTRUCTURAL
BIOLOGY
ISSN: 2059-7983
Volume 79| Part 9| September 2023| Pages 796-805
https://doi.org/10.1107/S2059798323005776
Follow Acta Cryst. D
Sign up for e-alerts
E-alerts
Follow Acta Cryst. on Twitter
Twitter
Follow us on facebook
Facebook
Sign up for RSS feeds
RSS