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  4. SPRING, an effective and reliable framework for image reconstruction in single-particle Coherent Diffraction Imaging
 
research article

SPRING, an effective and reliable framework for image reconstruction in single-particle Coherent Diffraction Imaging

Colombo, Alessandro
•
Sauppe, Mario
•
Al Haddad, Andre
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December 1, 2025
npj Computational Materials

Coherent Diffraction Imaging (CDI) is an experimental technique to image isolated structures by recording the scattered light. The sample density can be recovered from the scattered field through a Fourier Transform operation. However, the phase of the field is lost during the measurement and has to be algorithmically retrieved. Here we present SPRING, an analysis framework tailored to X-ray Free Electron Laser (XFEL) single-shot single-particle diffraction data that implements the Memetic Phase Retrieval method to mitigate the shortcomings of conventional algorithms. We benchmark the approach on data acquired in two experimental campaigns at SwissFEL and European XFEL. Results reveal unprecedented stability and resilience of the algorithm’s behavior on the input parameters, and the capability of identifying the solution in conditions hardly treatable with conventional methods. A user-friendly implementation of SPRING is released as open-source software, aiming at being a reference tool for the CDI community at XFEL and synchrotron facilities.

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Type
research article
DOI
10.1038/s41524-025-01661-y
Scopus ID

2-s2.0-105013642950

Author(s)
Colombo, Alessandro

ETH Zürich

Sauppe, Mario

ETH Zürich

Al Haddad, Andre

Paul Scherrer Institut

Ayyer, Kartik

Max Planck Institute for the Structure and Dynamics of Matter

Babayan, Morsal

Oulun Yliopisto

Boll, Rebecca

European XFEL GmbH

Dagar, Ritika

Ludwig-Maximilians-Universität München

Dold, Simon

European XFEL GmbH

Fennel, Thomas

Universität Rostock

Hecht, Linos

ETH Zürich

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Date Issued

2025-12-01

Published in
npj Computational Materials
Volume

11

Issue

1

Article Number

265

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LUXS  
FunderFunding(s)Grant NumberGrant URL

Stockholm University

European XFEL

Uppsala University

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Available on Infoscience
September 2, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/253642
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