Coherent diffraction of single Rice Dwarf virus particles using hard X-rays at the Linac Coherent Light Source

Anna Munke, Jakob Andreasson, Andrew Aquila, Salah Awel, Kartik Ayyer, Anton Barty, Richard J. Bean, Peter Berntsen, Johan Bielecki, Sébastien Boutet, Maximilian Bucher, Henry N. Chapman, Benedikt J. Daurer, Hasan Demirci, Veit Elser, Petra Fromme, Janos Hajdu, Max F. Hantke, Akifumi Higashiura, Brenda HogueAhmad Hosseinizadeh, Yoonhee Kim, Richard Kirian, Hemanth K N Reddy, Ti Yen Lan, Daniel S D Larsson, Haiguang Liu, N. Duane Loh, Filipe R N C Maia, Adrian P. Mancuso, Kerstin Mühlig, Atsushi Nakagawa, Daewoong Nam, Garrett Nelson, Carl Nettelblad, Kenta Okamoto, Abbas Ourmazd, Max Rose, Gijs Van Der Schot, Peter Schwander, M. Marvin Seibert, Jonas A. Sellberg, Raymond G. Sierra, Changyong Song, Martin Svenda, Nicusor Timneanu, Ivan A. Vartanyants, Daniel Westphal, Max O. Wiedorn, Garth J. Williams, Paulraj Lourdu Xavier, Chun Hong Yoon, James Zook

Research output: Contribution to journalArticlepeer-review

56 Scopus citations


Single particle diffractive imaging data from Rice Dwarf Virus (RDV) were recorded using the Coherent X-ray Imaging (CXI) instrument at the Linac Coherent Light Source (LCLS). RDV was chosen as it is a well-characterized model system, useful for proof-of-principle experiments, system optimization and algorithm development. RDV, an icosahedral virus of about 70 nm in diameter, was aerosolized and injected into the approximately 0.1 μm diameter focused hard X-ray beam at the CXI instrument of LCLS. Diffraction patterns from RDV with signal to 5.9 Ångström were recorded. The diffraction data are available through the Coherent X-ray Imaging Data Bank (CXIDB) as a resource for algorithm development, the contents of which are described here.

Original languageEnglish (US)
Article number160064
JournalScientific Data
StatePublished - Aug 1 2016

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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