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X-ray Crystallography

X-ray Crystallography

The size of the unit cell and the arrangement of atoms in a crystal may be determined from measurements of the diffraction of X-rays by the crystal, termed X-ray crystallography.
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Related Experiment Video

Updated: Oct 14, 2025

$Microfluidic Chips for In Situ Crystal X-ray Diffraction and In Situ Dynamic Light Scattering for Serial Crystallography$

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On single-crystal total scattering data reduction and correction protocols for analysis in direct space.

Robert J Koch¹, Nikolaj Roth², Yiu Liu¹

¹Condensed Matter Physics and Materials Science Division, Brookhaven National Laboratory, Upton, NY 11973, USA.

Acta Crystallographica. Section A, Foundations and Advances

|November 2, 2021

Summary

This study investigates data processing for three-dimensional differential atomic pair distribution function (3D-ΔPDF) analysis. It identifies robust methods and potential pitfalls for reproducible results in this emerging technique.

Keywords:

CuIr2S4 PDF analysis data reduction pair distribution function analysis single-crystal 3D differential PDF total scattering

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Last Updated: Oct 14, 2025

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Area of Science:

Materials Science
Crystallography
Data Analysis

Background:

The three-dimensional differential atomic pair distribution function (3D-ΔPDF) is an emerging technique for analyzing crystal structures using total scattering data.
Reproducibility of data reduction and correction steps is crucial for the reliable application of 3D-ΔPDF analysis.

Purpose of the Study:

To explore data reduction and correction steps for 3D-ΔPDF analysis.
To assess the reproducibility of processed data in 3D-ΔPDF analysis.
To identify robust processing methods and potential issues affecting data consistency.

Main Methods:

Detailed outline of sample measurement and data processing using a CuIr2S4 crystal.
Utilized a high-energy X-ray beam and a flat-panel area detector setup.
Tested reproducibility by varying data-processing order, included steps, and performing crystal-to-crystal comparisons.

Main Results:

Identified specific data-processing steps and orders that yield robust 3D-ΔPDF results.
Highlighted particular data-processing scenarios that can lead to inconsistent 3D-ΔPDF outcomes.
Discussed computational overhead related to data sampling and processing.

Conclusions:

The study provides a systematic approach to data processing and corrections for 3D-ΔPDF analysis.
While not universally applicable, the presented methods offer a starting point for improving reproducibility.
Further in-depth analysis of specific data-processing effects is warranted for broader system applicability.