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X-ray Crystallography02:18

X-ray Crystallography

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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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X-ray Diffraction of Biological Samples01:10

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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.
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: May 29, 2025

An All-in-one Sample Holder for Macromolecular X-ray Crystallography with Minimal Background Scattering
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An All-in-one Sample Holder for Macromolecular X-ray Crystallography with Minimal Background Scattering

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Massive compression for high data rate macromolecular crystallography (HDRMX): impact on diffraction data and

Herbert J Bernstein1, Alexei S Soares2, Kimberly Horvat3

  • 1Fresh Pond Research Institute, c/o NSLS-II, Brookhaven National Laboratory, Bldg 745, Upton, NY 11973-5000, USA.

Journal of Synchrotron Radiation
|February 6, 2025
PubMed
Summary
This summary is machine-generated.

New X-ray detectors require efficient data compression. Researchers explored lossy compression techniques like JPEG-2000 and Hcompress, finding they effectively minimize data loss for macromolecular crystallography.

Keywords:
Bragg reflectionscompressiondata statisticsexperimental phasinglossy compressionomit mapstructure refinement

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Area of Science:

  • Crystallography
  • Data Science
  • Imaging Technology

Background:

  • High-throughput X-ray detectors are emerging, generating vast datasets.
  • Macromolecular crystallography experiments demand efficient data handling.
  • Lossy compression is necessary to manage high data rates, but must preserve structural information.

Purpose of the Study:

  • To evaluate lossy compression algorithms for high-framerate X-ray detector data.
  • To determine methods that minimize information loss for macromolecular crystallography.
  • To assess the impact of compression on structural solution from Bragg reflections.

Main Methods:

  • Investigated image summing and pixel binning techniques.
  • Applied JPEG-2000 (wavelet-based) and Hcompress (Haar-wavelet-based) lossy compression.
  • Examined combinations of summing, binning, and compression algorithms.

Main Results:

  • Both JPEG-2000 and Hcompress offer effective lossy compression.
  • Combined methods (summing, binning, compression) show significant data reduction.
  • Essential structural information for Bragg reflection analysis is retained.

Conclusions:

  • Lossy compression techniques, particularly JPEG-2000 and Hcompress, are suitable for high-framerate X-ray detector data.
  • Optimized compression strategies can manage large data volumes without compromising crystallographic structure solution.
  • These methods are crucial for advancing specialized macromolecular crystallography experiments.