S. P. Meisburger

Scaling and merging macromolecular diffuse scattering with mdx2

The paper introduces mdx2, a Python toolkit for processing diffuse scattering data from macromolecular crystals, demonstrating multi-crystal scaling and merging workflows with a cubic insulin dataset.

Processing macromolecular diffuse scattering data

This paper reviews advances in reciprocal space mapping for diffuse scattering analysis and provides a tutorial on using Python tools for data processing.

Robust total X-ray scattering workflow to study correlated motion of proteins in crystals

This paper introduces a workflow for analyzing protein motion in crystals using total scattering, with methods to subtract lattice disorder and validate results.

REGALS: a general method to deconvolve X-ray scattering data from evolving mixtures

REGALS deconvolves X-ray scattering data from evolving mixtures by incorporating prior knowledge and regularization, enabling analysis of complex datasets with unknown components.

Diffuse X-ray Scattering from Correlated Motions in a Protein Crystal

This study analyzes diffuse X-ray scattering from lysozyme crystals to understand collective atomic motions and their correlations, revealing the need for internal protein dynamics beyond lattice effects.