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Toward unsupervised single-shot diffractive imaging of heterogeneous particles using X-ray free-electron lasers

Authors :
Stefan P. Hau-Riege
Hyung Joo Park
N. Duane Loh
Mengning Liang
Mark S. Hunter
Nils Kimmel
Raymond G. Sierra
Joachim Ullrich
W. Henry Benner
John D. Bozek
Artem Rudenko
Christoph Bostedt
Helmut Hirsemann
Stephan Kassemeyer
Andrew Aquila
Herbert J. Tobias
Holger Fleckenstein
Lothar Strueder
Heike Soltau
Nicola Coppola
Christina Y. Hampton
Henry N. Chapman
Michael J. Bogan
Filipe R. N. C. Maia
Daniel Rolles
D. Starodub
Anton Barty
Karol Nass
Georg Weidenspointner
Lars Gumprecht
Lutz Foucar
Jan Steinbrener
Robert L. Shoeman
Heinz Graafsma
Sascha W. Epp
Tomas Ekeberg
Peter Holl
Andreas Hartmann
Robert Hartmann
Philip H. Bucksbaum
Miriam Barthelmess
Matthias Frank
Guenter Hauser
Joachim Schulz
Benedikt Rudek
Lukas Lomb
Stefano Marchesini
Benjamin Erk
Saša Bajt
Emanuele Pedersoli
Max F. Hantke
Christian Reich
Veit Elser
Ilme Schlichting
George R. Farquar
Cornelia B. Wunderer
Andrew V. Martin
Source :
Optics Express, Optics express 21(23), 28729 (2013). doi:10.1364/OE.21.028729
Publication Year :
2013

Abstract

Optics express 21(23), 28729(2013). doi:10.1364/OE.21.028729<br />Single shot diffraction imaging experiments via X-ray free- electron lasers can generate as many as hundreds of thousands of diffraction patterns of scattering objects. Recovering the real space contrast of a scat- tering object from these patterns currently requires a reconstruction process with user guidance in a number of steps, introducing severe bottlenecks in data processing. We present a series of measures that replace user guidance with algorithms that reconstruct contrasts in an unsupervised fashion. We demonstrate the feasibility of automating the reconstruction process by generating hundreds of contrasts obtained from soot particle diffraction experiments.<br />Published by Soc., Washington, DC

Details

Language :
English
Database :
OpenAIRE
Journal :
Optics Express
Accession number :
edsair.doi.dedup.....896789469226c8aecf3df28b5e33a6ad
Full Text :
https://doi.org/10.1364/OE.21.028729