Back to Search Start Over

An effective and reliable approach to the phase problem in single-shot single-particle Coherent Diffraction Imaging

Authors :
Colombo, Alessandro
Sauppe, Mario
Haddad, Andre Al
Ayyer, Kartik
Babayan, Morsal
Dagar, Ritika
Fennel, Thomas
Hecht, Linos
Knopp, Gregor
Kolatzki, Katharina
Langbehn, Bruno
Maia, Filipe
Mall, Abhishek
Mazumder, Parichita
Polat, Caner
Schäfer-Zimmermann, Julian C.
Schnorr, Kirsten
Schubert, Marie Louise
Sehati, Arezu
Sellberg, Jonas A.
Shen, Zhou
Sun, Zhibin
Svensson, Pamela
Tümmler, Paul
Ussling, Carl Frederic
Veteläinen, Onni
Wächter, Simon
Walsh, Noelle
Weitnauer, Alex V.
You, Tong
Zuod, Maha
Bostedt, Christoph
Patanen, Minna
Rupp, Daniela
Publication Year :
2024

Abstract

Coherent Diffraction Imaging (CDI) is an experimental technique to get images of isolated structures by recording the light scattered off the sample. Thanks to the extremely bright and short coherent light pulses provided by X-ray Free Electron Lasers, CDI makes it possible to study nanostructures in the gas phase and get time-resolved snapshots of their ultrafast dynamics with unprecedented resolution. 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. We present the Memetic Phase Retrieval (MPR) method, an improved approach to the phase retrieval problem, which makes use of a combination of existing phase retrieval algorithms and evolutionary algorithms to mitigate the shortcomings of conventional approaches. We benchmark the method on experimental data acquired in two experimental campaigns at SwissFEL and European XFEL. Imaging results on isolated nanostructures reveal considerable stability of the algorithm's behavior on the input parameters, as well as the capability of identifying the solution in challenging conditions. A user-friendly implementation of the MPR method is released as open-source software, aiming at being a reference tool for the FEL imaging community.<br />Comment: 37 pages, 13 figures. Software not yet released as open source. Software documentation under construction. Authors list up to date

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2409.07413
Document Type :
Working Paper