An advanced workflow for single-particle imaging with the limited data at an X-ray free-electron laser

Dameli Assalauova, Young Yong Kim, Sergey Bobkov, Ruslan Khubbutdinov, Max Rose, Roberto Alvarez, Jakob Andreasson, Eugeniu Balaur, Alice Contreras, Hasan DeMirci, Luca Gelisio, Janos Hajdu, Mark S. Hunter, Ruslan P. Kurta, Haoyuan Li, Matthew McFadden, Reza Nazari, Peter Schwander, Anton Teslyuk, Peter WalterP. Lourdu Xavier, Chun Hong Yoon, Sahba Zaare, Viacheslav A. Ilyin, Richard A. Kirian, Brenda G. Hogue, Andrew Aquila, Ivan A. Vartanyants

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


An improved analysis for single-particle imaging (SPI) experiments, using the limited data, is presented here. Results are based on a study of bacteriophage PR772 performed at the Atomic, Molecular and Optical Science instrument at the Linac Coherent Light Source as part of the SPI initiative. Existing methods were modified to cope with the shortcomings of the experimental data: inaccessibility of information from half of the detector and a small fraction of single hits. The general SPI analysis workflow was upgraded with the expectation-maximization based classification of diffraction patterns and mode decomposition on the final virus-structure determination step. The presented processing pipeline allowed us to determine the 3D structure of bacteriophage PR772 without symmetry constraints with a spatial resolution of 6.9 nm. The obtained resolution was limited by the scattering intensity during the experiment and the relatively small number of single hits.

Original languageEnglish (US)
Pages (from-to)1102-1113
Number of pages12
StatePublished - Nov 1 2020


  • XFELs
  • bacteriophage PR772
  • single-particle imaging
  • three-dimensional virus reconstruction

ASJC Scopus subject areas

  • Chemistry(all)
  • Biochemistry
  • Materials Science(all)
  • Condensed Matter Physics


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