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Related Experiment Video

Updated: May 31, 2026

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
07:11

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

Published on: March 22, 2019

Automated data collection for macromolecular crystallography.

Graeme Winter1, Katherine E McAuley

  • 1Diamond Light Source Ltd., Harwell Science and Innovation Campus, Chilton, Oxfordshire OX11 0DE, UK. graeme.winter@diamond.ac.uk

Methods (San Diego, Calif.)
|July 19, 2011
PubMed
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Automation in macromolecular crystallography (MX) data collection is advancing, offering practical insights for MX beamlines. This overview focuses on current developments at Diamond Light Source, UK.

Area of Science:

  • Structural biology
  • Biophysics
  • Crystallography

Background:

  • Macromolecular crystallography (MX) is crucial for determining 3D structures of biological molecules.
  • Automated data collection streamlines the process, enhancing efficiency and throughput.
  • Advancements in beamline technology are key to modern MX studies.

Purpose of the Study:

  • To provide an overview of the current state of automation in macromolecular crystallography data collection.
  • To offer practical advice and insights for optimizing automated MX experiments.
  • To highlight specific developments and applications at Diamond Light Source (DLS) beamlines.

Main Methods:

  • Review of current automation technologies and strategies in MX.
  • Analysis of operational data and performance metrics from MX beamlines.

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Automated Protocols for Macromolecular Crystallization at the MRC Laboratory of Molecular Biology
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Automated Protocols for Macromolecular Crystallization at the MRC Laboratory of Molecular Biology

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The Automated Crystallography Pipelines at the EMBL HTX Facility in Grenoble
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The Automated Crystallography Pipelines at the EMBL HTX Facility in Grenoble

Published on: June 5, 2021

Related Experiment Videos

Last Updated: May 31, 2026

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
07:11

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

Published on: March 22, 2019

Automated Protocols for Macromolecular Crystallization at the MRC Laboratory of Molecular Biology
11:20

Automated Protocols for Macromolecular Crystallization at the MRC Laboratory of Molecular Biology

Published on: January 24, 2018

The Automated Crystallography Pipelines at the EMBL HTX Facility in Grenoble
06:50

The Automated Crystallography Pipelines at the EMBL HTX Facility in Grenoble

Published on: June 5, 2021

  • Case studies and practical recommendations for implementation.

    • Main Results:

    • Significant progress in automated sample mounting, data acquisition, and processing.
    • Demonstration of increased efficiency and data quality through automation.
    • Identification of best practices for operationalizing automated MX workflows.

    Conclusions:

    • Automation is transforming macromolecular crystallography data collection.
    • Implementing automated MX workflows enhances research capabilities and accelerates discovery.
    • Continued development and adoption of automation are vital for the future of structural biology.