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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.
Diffraction
Diffraction is the change in the direction of travel experienced by an electromagnetic wave when it encounters a physical barrier whose dimensions are comparable to those of the wavelength of the light. X-rays are electromagnetic radiation with wavelengths about as long as the distance between neighboring...

$X-ray Diffraction of Biological Samples$ 01:10

X-ray Diffraction of Biological Samples

X-ray diffraction or XRD is an analytical tool that utilizes X-rays to study ordered structures such as crystalline organic and inorganic samples, polycrystalline materials, proteins, carbohydrates, and drugs.
According to Bragg's law, when X-rays strike the sample positioned on a stage, the rays are scattered by the electron clouds around the sample atoms. The X-ray diffraction or scattering is caused by constructive interference of the X-ray waves that reflect off the internal...

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Related Experiment Video

Updated: Jun 4, 2025

$Microcrystallography of Protein Crystals and In Cellulo Diffraction$

Microcrystallography of Protein Crystals and In Cellulo Diffraction

Published on: July 21, 2017

vs {Rmerg, Rmeas, Rpim, CC1/2} for Crystal Diffraction Data Quality Evaluation.

Zheng-Qing Fu^1,2, Brian V Geisbrecht³, Samuel Bouyain⁴

¹SER-CAT, Advanced Photon Source, Argonne National Laboratory Argonne, IL 60439, USA.

Biorxiv : the Preprint Server for Biology

|December 23, 2024

Summary

This summary is machine-generated.

Evaluating X-ray diffraction data quality is crucial for reliable macromolecular structures. This study clarifies metrics like Rmerge and CC1/2 for assessing reflection equivalence and resolution limits.

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Last Updated: Jun 4, 2025

$Microcrystallography of Protein Crystals and In Cellulo Diffraction$

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Published on: July 21, 2017

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

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Published on: April 24, 2018

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Published on: March 3, 2021

Area of Science:

Structural biology
Biophysical chemistry
Crystallography

Background:

X-ray crystal diffraction is essential for determining atomic-level structures of biological macromolecules.
The reliability of structural models directly depends on the quality of the diffraction data.
Multiple datasets are often available, necessitating robust methods for quality assessment and selection.

Purpose of the Study:

To analyze and clarify various metrics used for evaluating X-ray diffraction data quality.
To address potential misuse and confusion surrounding data quality measures, particularly in high-throughput synchrotron experiments.
To provide reliable indicators for selecting the highest quality datasets.

Main Methods:

Theoretical analysis of existing data quality metrics.
Experimental validation using diverse datasets with varying characteristics.
Evaluation of metrics such as Rmerge, Rmeas, Rpim, CC1/2, and high-shell Rmerge.

Main Results:

Rmerge, Rmeas, Rpim, and CC1/2 are confirmed to measure reflection equivalence.
Low-shell values of these metrics reliably indicate the correctness of Laue symmetry.
High-shell Rmerge is identified as a superior indicator for selecting the resolution cutoff, while overall Rmerge reflects data strength.

Conclusions:

Clarification of the specific applications and interpretations of common crystallographic data quality metrics.
Recommendations for reliable use of metrics to ensure accurate structural model building.
Improved data selection strategies for enhanced structural biology research.