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Diffraction data of core-shell nanoparticles from an X-ray free electron laser

MPS-Authors
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Kassemeyer,  Stephan
Department of Biomolecular Mechanisms, Max Planck Institute for Medical Research, Max Planck Society;

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Botha,  Sabine
Department of Biomolecular Mechanisms, Max Planck Institute for Medical Research, Max Planck Society;

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Shoeman,  Robert L.
Department of Biomolecular Mechanisms, Max Planck Institute for Medical Research, Max Planck Society;

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Hartmann,  Elisabeth
Department of Biomolecular Mechanisms, Max Planck Institute for Medical Research, Max Planck Society;

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Jafarpour,  Aliakbar
Department of Biomolecular Mechanisms, Max Planck Institute for Medical Research, Max Planck Society;

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Foucar,  Lutz
Department of Biomolecular Mechanisms, Max Planck Institute for Medical Research, Max Planck Society;

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Doak,  Bruce
Department of Biomolecular Mechanisms, Max Planck Institute for Medical Research, Max Planck Society;

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Schlichting,  Ilme
Department of Biomolecular Mechanisms, Max Planck Institute for Medical Research, Max Planck Society;

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Citation

Li, X., Chiu, C.-Y., Wang, H.-J., Kassemeyer, S., Botha, S., Shoeman, R. L., et al. (2017). Diffraction data of core-shell nanoparticles from an X-ray free electron laser. Scientific Data, 4: 170048, pp. 1-8. doi:10.1038/sdata.2017.48.


Cite as: http://hdl.handle.net/11858/00-001M-0000-002E-2908-9
Abstract
X-ray free-electron lasers provide novel opportunities to conduct single particle analysis on nanoscale particles. Coherent diffractive imaging experiments were performed at the Linac Coherent Light Source (LCLS), SLAC National Laboratory, exposing single inorganic core-shell nanoparticles to femtosecond hard-X-ray pulses. Each facetted nanoparticle consisted of a crystalline gold core and a differently shaped palladium shell. Scattered intensities were observed up to about 7 nm resolution. Analysis of the scattering patterns revealed the size distribution of the samples, which is consistent with that obtained from direct real-space imaging by electron microscopy. Scattering patterns resulting from single particles were selected and compiled into a dataset which can be valuable for algorithm developments in single particle scattering research.