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Updated: Jan 26, 2026

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
Published on: March 22, 2019
Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
Stephanie Hutin1, Bart Van Laer1, Christoph Mueller-Dieckmann1
1Structural Biology Group, European Synchrotron Radiation Facility.
Abstract:
High-brilliance X-ray beams coupled with automation have led to the use of synchrotron-based macromolecular X-ray crystallography (MX) beamlines for even the most challenging projects in structural biology. However, most facilities still require the presence of a scientist on site to perform the experiments. A new generation of automated beamlines dedicated to the fully automatic characterization of, and data collection from, crystals of biological macromolecules has recently been developed. These beamlines represent a new tool for structural biologists to screen the results of initial crystallization trials and/or the collection of large numbers of diffraction data sets, without users having to control the beamline themselves. Here we show how to set up an experiment for automatic screening and data collection, how an experiment is performed at the beamline, how the resulting data sets are processed, and how, when possible, the crystal structure of the biological macromolecule is solved.
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