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

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

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


Single shot diffraction imaging experiments via X-ray freeelectron lasers can generate as many as hundreds of thousands of diffraction patterns of scattering objects. Recovering the real space contrast of a scattering 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.

Original languageEnglish (US)
Pages (from-to)28729-28742
Number of pages14
JournalOptics Express
Issue number23
StatePublished - Nov 18 2013
Externally publishedYes

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics


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