SPRING: an effective and reliable framework for image reconstruction in single-particle Coherent Diffraction Imaging
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2024
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| author | Colombo, Alessandro Sauppe, Mario Haddad, Andre Al Ayyer, Kartik Babayan, Morsal Boll, Rebecca Dagar, Ritika Dold, Simon Fennel, Thomas Hecht, Linos Knopp, Gregor Kolatzki, Katharina Langbehn, Bruno Maia, Filipe R. N. C. Mall, Abhishek Mazumder, Parichita Mazza, Tommaso Ovcharenko, Yevheniy Polat, Ihsan Caner Raiser, Dirk Schäfer-Zimmermann, Julian C. Schnorr, Kirsten Schubert, Marie Louise Sehati, Arezu Sellberg, Jonas A. Senfftleben, Björn Shen, Zhou Sun, Zhibin Svensson, Pamela H. W. Tümmler, Paul Usenko, Sergey Ussling, Carl Frederic Veteläinen, Onni Wächter, Simon Walsh, Noelle Weitnauer, Alex V. You, Tong Zuod, Maha Meyer, Michael Bostedt, Christoph Galli, Davide E. Patanen, Minna Rupp, Daniela |
| author_facet | Colombo, Alessandro Sauppe, Mario Haddad, Andre Al Ayyer, Kartik Babayan, Morsal Boll, Rebecca Dagar, Ritika Dold, Simon Fennel, Thomas Hecht, Linos Knopp, Gregor Kolatzki, Katharina Langbehn, Bruno Maia, Filipe R. N. C. Mall, Abhishek Mazumder, Parichita Mazza, Tommaso Ovcharenko, Yevheniy Polat, Ihsan Caner Raiser, Dirk Schäfer-Zimmermann, Julian C. Schnorr, Kirsten Schubert, Marie Louise Sehati, Arezu Sellberg, Jonas A. Senfftleben, Björn Shen, Zhou Sun, Zhibin Svensson, Pamela H. W. Tümmler, Paul Usenko, Sergey Ussling, Carl Frederic Veteläinen, Onni Wächter, Simon Walsh, Noelle Weitnauer, Alex V. You, Tong Zuod, Maha Meyer, Michael Bostedt, Christoph Galli, Davide E. Patanen, Minna Rupp, Daniela |
| contents | Coherent Diffraction Imaging (CDI) is an experimental technique to gain images of isolated structures by recording the light scattered off the sample. In principle, the sample density can be recovered from the scattered light field through a straightforward Fourier Transform operation. However, only the amplitude of the field is recorded, while the phase is lost during the measurement process and has to be retrieved by means of suitable, well-established phase retrieval algorithms. In this work, 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 experimental data acquired in two experimental campaigns at SwissFEL and European XFEL. Imaging results on isolated nanostructures reveal unprecedented stability and resilience of the algorithm's behavior on the input parameters, as well as the capability of identifying the solution in conditions hardly treatable so far with conventional methods. A user-friendly implementation of SPRING is released as open-source software, aiming at being a reference tool for the coherent diffraction imaging community at XFEL and synchrotron facilities. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_07413 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | SPRING: an effective and reliable framework for image reconstruction in single-particle Coherent Diffraction Imaging Colombo, Alessandro Sauppe, Mario Haddad, Andre Al Ayyer, Kartik Babayan, Morsal Boll, Rebecca Dagar, Ritika Dold, Simon Fennel, Thomas Hecht, Linos Knopp, Gregor Kolatzki, Katharina Langbehn, Bruno Maia, Filipe R. N. C. Mall, Abhishek Mazumder, Parichita Mazza, Tommaso Ovcharenko, Yevheniy Polat, Ihsan Caner Raiser, Dirk Schäfer-Zimmermann, Julian C. Schnorr, Kirsten Schubert, Marie Louise Sehati, Arezu Sellberg, Jonas A. Senfftleben, Björn Shen, Zhou Sun, Zhibin Svensson, Pamela H. W. Tümmler, Paul Usenko, Sergey Ussling, Carl Frederic Veteläinen, Onni Wächter, Simon Walsh, Noelle Weitnauer, Alex V. You, Tong Zuod, Maha Meyer, Michael Bostedt, Christoph Galli, Davide E. Patanen, Minna Rupp, Daniela Optics Mesoscale and Nanoscale Physics Atomic and Molecular Clusters Computational Physics Data Analysis, Statistics and Probability Coherent Diffraction Imaging (CDI) is an experimental technique to gain images of isolated structures by recording the light scattered off the sample. In principle, the sample density can be recovered from the scattered light field through a straightforward Fourier Transform operation. However, only the amplitude of the field is recorded, while the phase is lost during the measurement process and has to be retrieved by means of suitable, well-established phase retrieval algorithms. In this work, 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 experimental data acquired in two experimental campaigns at SwissFEL and European XFEL. Imaging results on isolated nanostructures reveal unprecedented stability and resilience of the algorithm's behavior on the input parameters, as well as the capability of identifying the solution in conditions hardly treatable so far with conventional methods. A user-friendly implementation of SPRING is released as open-source software, aiming at being a reference tool for the coherent diffraction imaging community at XFEL and synchrotron facilities. |
| title | SPRING: an effective and reliable framework for image reconstruction in single-particle Coherent Diffraction Imaging |
| topic | Optics Mesoscale and Nanoscale Physics Atomic and Molecular Clusters Computational Physics Data Analysis, Statistics and Probability |
| url | https://arxiv.org/abs/2409.07413 |