Processing serial synchrotron crystallography diffraction data with DIALS

Methods Enzymol. 2024:709:207-244. doi: 10.1016/bs.mie.2024.10.004. Epub 2024 Oct 29.

Abstract

This chapter describes additions to the DIALS software package for processing serial still-shot crystallographic data, and the implementation of a pipeline, xia2.ssx, for processing and merging serial crystallography data using DIALS programs. To integrate partial still-shot diffraction data, a 3D gaussian profile model was developed that can describe anisotropic spot shapes. This model is optimised by maximum likelihood methods using the pixel-intensity distributions of strong diffraction spots, enabling simultaneous refinement of the profile model and Ewald-sphere offsets. We demonstrate the processing of an example SSX dataset where the improved partiality estimates lead to better model statistics compared with post-refined isotropic models. We also demonstrate some of the workflows available for merging SSX data, including processing time/dose resolved data series, where data can be separated at the point of merging after scaling and discuss the program outputs used to investigate the data throughout the pipeline.

Keywords: DIALS; Data integration; Data processing; Data reduction; Serial crystallography; Xia2.ssx.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural

MeSH terms

  • Crystallography, X-Ray / methods
  • Software*
  • Synchrotrons*
  • X-Ray Diffraction / methods