2024/11/14 by Jérôme Kieffer, Julien Orlans, Kieffer, Jérôme +13 · 1 citation
Engineering · Materials Science · Physics and Astronomy · #Advanced X-ray Imaging Techniques #FOS: Electrical engineering #FOS: Physical sciences #Image Processing Techniques and Applications #Image and Video Processing (eess.IV) #Materials Science (cond-mat.mtrl-sci) #Optics (physics.optics) #X-ray Diffraction in Crystallography #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2411.09515
openalex publication_date 2024/11/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We present here a real-time analysis of diffraction images acquired at high frame-rate (925 Hz) and its application to macromolecular serial crystallography. The software uses 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 derives from the work performed on 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 is assessed by comparing data quality after reduction with XDS and CrystFEL.