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Computational study of diffraction image formation from XFEL irradiated single ribosome molecule.
Stransky, Michal; E, Juncheng; Jurek, Zoltan; Santra, Robin; Bean, Richard; Ziaja, Beata; Mancuso, Adrian P.
Afiliação
  • Stransky M; European XFEL, Holzkoppel 4, 22869, Schenefeld, Germany. michal.stransky@xfel.eu.
  • E J; Institute of Nuclear Physics, Polish Academy of Sciences, Radzikowskiego 152, 31-342, Krakow, Poland. michal.stransky@xfel.eu.
  • Jurek Z; Institute of Physics, Czech Academy of Sciences, Na Slovance 2, 182 21, Prague 8, Czech Republic. michal.stransky@xfel.eu.
  • Santra R; European XFEL, Holzkoppel 4, 22869, Schenefeld, Germany. juncheng.e@xfel.eu.
  • Bean R; Center for Free-Electron Laser Science CFEL, Deutsches Elektronen-Synchrotron DESY, Notkestr. 85, 22607, Hamburg, Germany.
  • Ziaja B; The Hamburg Centre for Ultrafast Imaging, Luruper Chaussee 149, 22761, Hamburg, Germany.
  • Mancuso AP; Center for Free-Electron Laser Science CFEL, Deutsches Elektronen-Synchrotron DESY, Notkestr. 85, 22607, Hamburg, Germany.
Sci Rep ; 14(1): 10617, 2024 May 09.
Article em En | MEDLINE | ID: mdl-38720133
ABSTRACT
Single particle imaging at atomic resolution is perhaps one of the most desired goals for ultrafast X-ray science with X-ray free-electron lasers. Such a capability would create great opportunity within the biological sciences, as high-resolution structural information of biosamples that may not crystallize is essential for many research areas therein. In this paper, we report on a comprehensive computational study of diffraction image formation during single particle imaging of a macromolecule, containing over one hundred thousand non-hydrogen atoms. For this study, we use a dedicated simulation framework, SIMEX, available at the European XFEL facility. Our results demonstrate the full feasibility of computational single-particle imaging studies for biological samples of realistic size. This finding is important as it shows that the SIMEX platform can be used for simulations to inform relevant single-particle-imaging experiments and help to establish optimal parameters for these experiments. This will enable more focused and more efficient single-particle-imaging experiments at XFEL facilities, making the best use of the resource-intensive XFEL operation.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article