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Related Experiment Video

Updated: Feb 10, 2026

Preparation and Delivery of Protein Microcrystals in Lipidic Cubic Phase for Serial Femtosecond Crystallography
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Preparation and Delivery of Protein Microcrystals in Lipidic Cubic Phase for Serial Femtosecond Crystallography

Published on: September 20, 2016

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Sample manipulation and data assembly for robust microcrystal synchrotron crystallography.

Gongrui Guo1,2, Martin R Fuchs1, Wuxian Shi1

  • 1Photon Science Directorate, NSLS-II, Brookhaven National Laboratory, Upton, NY 11973, USA.

Iucrj
|May 15, 2018
PubMed
Summary
This summary is machine-generated.

New polyimide well-mounts and data analysis methods enable robust synchrotron crystallography using microcrystals (crystals < 10 µm). This breakthrough allows routine data acquisition and assembly from tiny samples.

Keywords:
X-ray crystallographydata analysismicrocrystalsmicrodiffractionmultiple crystalsradiation damagestructural biology

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Area of Science:

  • Crystallography
  • Materials Science
  • Synchrotron Radiation

Background:

  • Microcrystal handling and data analysis present challenges in synchrotron crystallography.
  • Advancements in beamline instrumentation and data processing have increased interest in microcrystal crystallography.

Purpose of the Study:

  • To develop improved methods for manipulating microcrystals (< 10 µm) for synchrotron analysis.
  • To implement a robust data analysis technique for assembling diffraction data from numerous microcrystals.

Main Methods:

  • Development of micro-sized polyimide well-mounts for precise microcrystal manipulation.
  • Implementation of a data analysis strategy for assembling rotational microdiffraction datasets.

Main Results:

  • Successfully demonstrated the utility of micro-sized polyimide well-mounts for handling microcrystals.
  • Established a robust method for assembling complete datasets from microcrystal synchrotron diffraction data.

Conclusions:

  • Microcrystal synchrotron crystallography is now more feasible and routine.
  • The developed methods overcome key challenges in sample manipulation and data assembly for microcrystals.