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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...

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Related Experiment Video

Updated: Feb 23, 2026

$Microcrystallography of Protein Crystals and In Cellulo Diffraction$

Microcrystallography of Protein Crystals and In Cellulo Diffraction

Published on: July 21, 2017

Forty years of collaborative computational crystallography.

Jon Agirre¹, Eleanor Dodson¹

¹Department of Chemistry, York Structural Biology Laboratory, The University of York, YO10 5DD, United Kingdom.

Protein Science : a Publication of the Protein Society

|September 14, 2017

Summary

This summary is machine-generated.

Collaborative Computational Project No. 4 (CCP4) revolutionized crystallography through strategic development. Its success stemmed from key advancements in computational methods and collaborative efforts.

Keywords:

C++Python computational crystallography fortran

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$Microcrystallography of Protein Crystals and In Cellulo Diffraction$

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Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

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Area of Science:

Crystallography
Computational Science
Materials Science

Background:

The history of collaborative computational crystallography is reviewed.
Emphasis is placed on the Collaborative Computational Project No. 4 (CCP4).

Observation:

Key developmental steps of CCP4 are outlined.
Underlying reasons for CCP4's success are considered.

Findings:

CCP4's development involved critical advancements in computational tools.
The project fostered unprecedented collaborative success in the field.

Implications:

The CCP4 model offers insights into successful scientific collaborations.
This work highlights the impact of computational approaches in crystallography.