Application of Signal Separation to Diffraction Image Compression and Serial Crystallography

Overview

Journal J Appl Crystallogr

Date 2025 Feb 7

PMID 39917186

Authors

Jerome Kieffer

Julien Orlans

Nicolas Coquelle

Samuel Debionne

Shibom Basu

Alejandro Homs

Gianluca Santoni

Daniele de Sanctis

Affiliations

Soon will be listed here.

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 , 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 and .

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