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Updated: May 29, 2025
On-Chip Crystallization and Large-Scale Serial Diffraction at Room Temperature
Published on: March 11, 2022
Application of signal separation to diffraction image compression and serial crystallography
Jérôme Kieffer1, Julien Orlans1, Nicolas Coquelle1
1European Synchrotron Radiation Facility, 71 avenue des Martyrs, CS 40220, 38043 Grenoble Cedex 9, France.
Abstract:
We present here a methodology for real-time analysis of diffraction images acquired at a high frame rate (925 Hz) and its application to macromolecular serial crystallography at ESRF. We introduce a new signal-separation algorithm, able to distinguish the amorphous (or powder diffraction) component from the diffraction signal originating from single crystals. It relies on the ability to work efficiently in azimuthal space and is implemented in pyFAI, the fast azimuthal integration library. Two applications are built upon this separation algorithm: a lossy compression algorithm and a peak-picking algorithm. The performances of both are assessed by comparing data quality after reduction with XDS and CrystFEL.
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