IUCrJ (Sep 2018)

Considerations for three-dimensional image reconstruction from experimental data in coherent diffractive imaging

  • Ida V. Lundholm,
  • Jonas A. Sellberg,
  • Tomas Ekeberg,
  • Max F. Hantke,
  • Kenta Okamoto,
  • Gijs van der Schot,
  • Jakob Andreasson,
  • Anton Barty,
  • Johan Bielecki,
  • Petr Bruza,
  • Max Bucher,
  • Sebastian Carron,
  • Benedikt J. Daurer,
  • Ken Ferguson,
  • Dirk Hasse,
  • Jacek Krzywinski,
  • Daniel S. D. Larsson,
  • Andrew Morgan,
  • Kerstin Mühlig,
  • Maria Müller,
  • Carl Nettelblad,
  • Alberto Pietrini,
  • Hemanth K. N. Reddy,
  • Daniela Rupp,
  • Mario Sauppe,
  • Marvin Seibert,
  • Martin Svenda,
  • Michelle Swiggers,
  • Nicusor Timneanu,
  • Anatoli Ulmer,
  • Daniel Westphal,
  • Garth Williams,
  • Alessandro Zani,
  • Gyula Faigel,
  • Henry N. Chapman,
  • Thomas Möller,
  • Christoph Bostedt,
  • Janos Hajdu,
  • Tais Gorkhover,
  • Filipe R. N. C. Maia

DOI
https://doi.org/10.1107/S2052252518010047
Journal volume & issue
Vol. 5, no. 5
pp. 531 – 541

Abstract

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Diffraction before destruction using X-ray free-electron lasers (XFELs) has the potential to determine radiation-damage-free structures without the need for crystallization. This article presents the three-dimensional reconstruction of the Melbournevirus from single-particle X-ray diffraction patterns collected at the LINAC Coherent Light Source (LCLS) as well as reconstructions from simulated data exploring the consequences of different kinds of experimental sources of noise. The reconstruction from experimental data suffers from a strong artifact in the center of the particle. This could be reproduced with simulated data by adding experimental background to the diffraction patterns. In those simulations, the relative density of the artifact increases linearly with background strength. This suggests that the artifact originates from the Fourier transform of the relatively flat background, concentrating all power in a central feature of limited extent. We support these findings by significantly reducing the artifact through background removal before the phase-retrieval step. Large amounts of blurring in the diffraction patterns were also found to introduce diffuse artifacts, which could easily be mistaken as biologically relevant features. Other sources of noise such as sample heterogeneity and variation of pulse energy did not significantly degrade the quality of the reconstructions. Larger data volumes, made possible by the recent inauguration of high repetition-rate XFELs, allow for increased signal-to-background ratio and provide a way to minimize these artifacts. The anticipated development of three-dimensional Fourier-volume-assembly algorithms which are background aware is an alternative and complementary solution, which maximizes the use of data.

Keywords