Coherent soft X-ray diffraction imaging of coliphage PR772 at the Linac coherent light source

Hemanth K.N. Reddy, Chun Hong Yoon, Andrew Aquila, Salah Awel, Kartik Ayyer, Anton Barty, Peter Berntsen, Johan Bielecki, Sergey Bobkov, Maximilian Bucher, Gabriella A. Carini, Sebastian Carron, Henry Chapman, Benedikt Daurer, Hasan Demirci, Tomas Ekeberg, Petra Fromme, Janos Hajdu, Max Felix Hanke, Philip HartBrenda Hogue, Ahmad Hosseinizadeh, Yoonhee Kim, Richard Kirian, Ruslan P. Kurta, Daniel S.D. Larsson, N. Duane Loh, Filipe R.N.C. Maia, Adrian P. Mancuso, Kerstin Mühlig, Anna Munke, Daewoong Nam, Carl Nettelblad, Abbas Ourmazd, Max Rose, Peter Schwander, Marvin Seibert, Jonas A. Sellberg, Changyong Song, John Spence, Martin Svenda, Gijs Van Der Schot, Ivan A. Vartanyants, Garth J. Williams, P. Lourdu Xavier

Research output: Contribution to journalArticlepeer-review

48 Scopus citations


Single-particle diffraction from X-ray Free Electron Lasers offers the potential for molecular structure determination without the need for crystallization. In an effort to further develop the technique, we present a dataset of coherent soft X-ray diffraction images of Coliphage PR772 virus, collected at the Atomic Molecular Optics (AMO) beamline with pnCCD detectors in the LAMP instrument at the Linac Coherent Light Source. The diameter of PR772 ranges from 65-70 nm, which is considerably smaller than the previously reported ∼600 nm diameter Mimivirus. This reflects continued progress in XFEL-based single-particle imaging towards the single molecular imaging regime. The data set contains significantly more single particle hits than collected in previous experiments, enabling the development of improved statistical analysis, reconstruction algorithms, and quantitative metrics to determine resolution and self-consistency.

Original languageEnglish (US)
Article number170079
JournalScientific Data
StatePublished - Jun 27 2017

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences


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