MHz data collection of a microcrystalline mixture of different jack bean proteins

Marie Luise Grünbein, Johan Bielecki, Alexander Gorel, Miriam Stricker, Richard Bean, Marco Cammarata, Katerina Dörner, Lars Fröhlich, Elisabeth Hartmann, Steffen Hauf, Mario Hilpert, Yoonhee Kim, Marco Kloos, Romain Letrun, Marc Messerschmidt, Grant Mills, Gabriela Nass Kovacs, Marco Ramilli, Christopher M. Roome, Tokushi SatoMatthias Scholz, Michel Sliwa, Jolanta Sztuk-Dambietz, Martin Weik, Britta Weinhausen, Nasser Al-Qudami, Djelloul Boukhelef, Sandor Brockhauser, Wajid Ehsan, Moritz Emons, Sergey Esenov, Hans Fangohr, Alexander Kaukher, Thomas Kluyver, Max Lederer, Luis Maia, Maurizio Manetti, Thomas Michelat, Astrid Münnich, Florent Pallas, Guido Palmer, Gianpietro Previtali, Natascha Raab, Alessandro Silenzi, Janusz Szuba, Sandhya Venkatesan, Krzysztof Wrona, Jun Zhu, R. Bruce Doak, Robert L. Shoeman, Lutz Foucar, Jacques Philippe Colletier, Adrian P. Mancuso, Thomas R.M. Barends, Claudiu A. Stan, Ilme Schlichting

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


We provide a detailed description of a serial femtosecond crystallography (SFX) dataset collected at the European X-ray free-electron laser facility (EuXFEL). The EuXFEL is the first high repetition rate XFEL delivering MHz X-ray pulse trains at 10 Hz. The short spacing (<1 µs) between pulses requires fast flowing microjets for sample injection and high frame rate detectors. A data set was recorded of a microcrystalline mixture of at least three different jack bean proteins (urease, concanavalin A, concanavalin B). A one megapixel Adaptive Gain Integrating Pixel Detector (AGIPD) was used which has not only a high frame rate but also a large dynamic range. This dataset is publicly available through the Coherent X-ray Imaging Data Bank (CXIDB) as a resource for algorithm development and for data analysis training for prospective XFEL users.

Original languageEnglish (US)
Article number18
JournalScientific Data
Issue number1
StatePublished - Dec 1 2019
Externally publishedYes

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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