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

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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.
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Related Experiment Video

Updated: May 24, 2026

$Measurements of Long-range Electronic Correlations During Femtosecond Diffraction Experiments Performed on Nanocrystals of Buckminsterfullerene$

Measurements of Long-range Electronic Correlations During Femtosecond Diffraction Experiments Performed on Nanocrystals of Buckminsterfullerene

Published on: August 22, 2017

Femtosecond free-electron laser x-ray diffraction data sets for algorithm development.

Stephan Kassemeyer¹, Jan Steinbrener, Lukas Lomb

¹Max-Planck-Institut für medizinische Forschung, Jahnstr. 29, 69120 Heidelberg, Germany.

|March 16, 2012

Summary

This summary is machine-generated.

Researchers released large benchmark datasets for X-ray diffraction imaging of viruses and nanoparticles. This data supports the development of new algorithms for coherent diffraction imaging, enabling 2D and 3D reconstructions.

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Area of Science:

Structural biology
Materials science
Coherent X-ray diffraction imaging

Background:

Coherent diffraction imaging (CDI) is a powerful lensless imaging technique.
Advancing CDI requires large, standardized datasets for algorithm development and validation.

Purpose of the Study:

To present the first large benchmark datasets for femtosecond X-ray diffraction of viruses and nanoparticles.
To facilitate the development of novel algorithms for coherent diffraction imaging.

Main Methods:

Femtosecond X-ray diffraction experiments were conducted at the Linac Coherent Light Source (LCLS).
Data collection focused on viruses and nanoparticles, yielding high-resolution diffraction patterns.
The datasets are made publicly available to the scientific community.

Main Results:

Established extensive benchmark datasets for CDI applications.
Demonstrated the feasibility of 2D image reconstructions from the diffraction data.
Showcased potential for orientation classification and 3D imaging through data assembly.

Conclusions:

The released datasets are crucial for advancing coherent diffraction imaging techniques.
Publicly available data will accelerate algorithm development and the adoption of CDI.
This resource supports the transition of CDI into a routine imaging method for nanoscale structures.