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

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.

Authors

Institutions

Publication Details

Journal
npj Computational Materials
Published
2025-08-19
DOI
https://doi.org/10.1038/s41524-025-01661-y
Citations
1
Primary Topic
Advanced X-ray Imaging Techniques
Type
article
Field-Weighted Citation Impact
1.88

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Bruno Langbehn, Paul Tümmler, Mario Sauppe, Kirsten Schnorr et al.
1 citations
npj Computational Materials
Advanced X-ray Imaging Techniques
1.88
article

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

Bruno Langbehn, Paul Tümmler, Mario Sauppe, Kirsten Schnorr, Noelle Walsh, Dirk Raiser, Yevheniy Ovcharenko, Gregor Knopp, Björn Senfftleben, Sergey Usenko, İ. Polat, Onni Veteläinen, Katharina Kolatzki, Morsal Babayan, Thomas Fennel, Filipe R. N. C. Maia, Kartik Ayyer, Abhishek Mall, Marie Louise Schubert, Parichita Mazumder, D. E. Galli, Patrick Svensson, S. Wachter, Daniela Rupp, Linos Hecht, Simon Dold, Minna Patanen, Rebecca Boll, Jonas A. Sellberg, Michael Meyer, André Al Haddad, Julian C. Schäfer-Zimmermann, Zhou Shen, Alessandro Colombo, Tommaso Mazza, Zhibin Sun, Tong You, Christoph Bostedt, Arezu Sehati, Carl Frederic Ussling, Alex V. Weitnauer, Maha Zuod, Ritika Dagar
article en
1 citations

Abstract

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.

npj Computational MaterialsVol. 11(1)
Karlsruhe Institute of Technology (DE), Uppsala University (SE), University of Milan (IT), University of Konstanz (DE), Paul Scherrer Institute (CH), ETH Zurich (CH), Max Planck Institute of Animal Behavior (DE), Max Planck Institute of Quantum Optics (DE), MAX IV Laboratory (SE), Max Planck Institute for the Structure and Dynamics of Matter (DE), Technische Universität Berlin (DE), University of Rostock (DE), École Polytechnique Fédérale de Lausanne (CH), Ludwig-Maximilians-Universität München (DE), KTH Royal Institute of Technology (SE), European X-Ray Free-Electron Laser (DE), University of Oulu (FI)
National Science Foundation, Göran Gustafssons Stiftelser, Deutsche Forschungsgemeinschaft, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Academy of Finland, Carl Tryggers Stiftelse för Vetenskaplig Forskning, Eidgenössische Technische Hochschule Zürich, Paul Scherrer Institut, Vetenskapsrådet, Uppsala Universitet, Stockholms Universitet
Openalex Percentile: Top 14%
Advanced X-ray Imaging Techniques
1.88
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.