Serial crystallography with multi-stage merging of thousands of images

Soares, A.S.; Yamada, Y.; Jakoncic, J.; McSweeney, S.; Sweet, R.M.; Skinner, J.; Foadi, J.; Fuchs, M.R.; Schneider, D.K.; Shi, W.; Andi, B.; Andrews, L.C.; Bernstein, H.J.

doi:10.1107/S2053230X22006422

Acta Crystallographica Section F
Acta Crystallographica
Section F STRUCTURAL BIOLOGY COMMUNICATIONS

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Figure 4
This dendrogram presents the top levels of BLEND clustering using the more sensitive Andrews–Bernstein Niggli-cone distance (NCDist) algorithm. The numbers are the LCV and the aLCV, with the aLCV in parentheses. Clustering is guided by the progressive merging of separate clusters into larger clusters using a measure of cluster proximity known as the Ward distance. This is equal to the increase of the distance variance (between each element of a cluster and its centroid) resulting from the merging of two separate clusters (Ward, 1963