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  Analysis of Fibrous Assembly Orientations from XFEL Diffraction Data

Wojtas, D. H., Seuring, C., Ayyer, K., Arnal, R. D., Meents, A., Mossou, E., et al. (2018). Analysis of Fibrous Assembly Orientations from XFEL Diffraction Data. In 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ). New York, NY 10017 USA: IEEE. doi:10.1109/IVCNZ.2018.8634714.

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https://dx.doi.org/10.1109/IVCNZ.2018.8634714 (Verlagsversion)
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 Urheber:
Wojtas, D. H.1, Autor
Seuring, C.2, 3, Autor
Ayyer, K.2, Autor
Arnal, R. D.1, Autor
Meents, A.2, Autor
Mossou, E.4, 5, Autor
̃Peña, G.2, Autor
Paulraj, L. X.2, 6, Autor           
Barthelmess, M.2, Autor
Forsyth, V. T.4, 5, Autor
Barty, A.2, Autor
Chapman, H. N.2, 3, 7, Autor
Millane, R. P.1, Autor
Affiliations:
1Computational Imaging Group, Department of Electrical and Computer Engineering University of Canterbury, ou_persistent22              
2Center for Free-Electron Laser Science, Deutsches Elektronen-Synchrotron (DESY), ou_persistent22              
3The Hamburg Centre for Ultrafast Imaging, ou_persistent22              
4Institut Laue-Langevin, Grenoble, ou_persistent22              
5Faculty of Natural Sciences, Keele University, ou_persistent22              
6International Max Planck Research School for Ultrafast Imaging & Structural Dynamics (IMPRS-UFAST), Max Planck Institute for the Structure and Dynamics of Matter, Max Planck Society, ou_2266714              
7Max-Planck Institute for the Structure and Dynamics of Matter, ou_persistent22              

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Schlagwörter: X-ray diffraction, XFEL, crystallography, fi-brous assembly, imaging, biological system
 Zusammenfassung: The application of a new generation of x-ray sources called X-ray Free Electron Lasers (XFELs) to diffractive imaging has allowed structural studies of specimens not previously accessible. Specimens of reduced crystallinity are of particular interest, including fibrous nano-crystals and single fibrous molecules. Diffractive imaging experiments using XFELs generate large datasets of diffraction frames from specimens with random, unknown orientations. The orientation of each diffraction frame needs to be determined from features in the pattern in order to register and merge the dataset for subsequent structural analysis. Certain sample delivery techniques simplify this process by limiting the range of orientations a specimen may take. In this paper we consider two sample delivery techniques: a liquid jet and a fixed target on a silicon wafer. Orientations determined from diffraction patterns from each delivery method are classified in order to investigate the type of orientation present. This information also helps to characterize the quality of sample preparations and provides feedback valuable for designing future experiments.

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Sprache(n): eng - English
 Datum: 20182018
 Publikationsstatus: Erschienen
 Seiten: 6
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Interne Begutachtung
 Identifikatoren: DOI: 10.1109/IVCNZ.2018.8634714
 Art des Abschluß: -

Veranstaltung

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Titel: International Conference on Image and Vision Computing New Zealand (IVCNZ)
Veranstaltungsort: Auckland, New Zealand
Start-/Enddatum: 2018-11-19 - 2018-11-21

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Titel: 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ)
Genre der Quelle: Konferenzband
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Affiliations:
Ort, Verlag, Ausgabe: New York, NY 10017 USA : IEEE
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: - Identifikator: Anderer: INSPEC Accession Number: 18434764