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Synergistic use of gradient flipping and phase prediction for inline electron holography.
Ozsoy-Keskinbora, Cigdem; Van den Broek, Wouter; Boothroyd, Chris B; Dunin-Borkowski, Rafal E; van Aken, Peter A; Koch, Christoph T.
Afiliação
  • Ozsoy-Keskinbora C; Stuttgart Center for Electron Microscopy, Max Planck Institute for Solid State Research, Heisenbergstr. 1, 70569, Stuttgart, Germany. cigdem.ozsoykeskinbora@thermofisher.com.
  • Van den Broek W; Thermo Fisher Scientific, Eindhoven, The Netherlands. cigdem.ozsoykeskinbora@thermofisher.com.
  • Boothroyd CB; Department of Physics, IRIS Adlershof, Humboldt-Universität Zu Berlin, 12489, Berlin, Germany.
  • Dunin-Borkowski RE; Thermo Fisher Scientific, Eindhoven, The Netherlands.
  • van Aken PA; Ernst Ruska-Centre for Microscopy and Spectroscopy with Electrons and Peter Grünberg Institute, Forschungszentrum Jülich, 52425, Jülich, Germany.
  • Koch CT; School of Materials Science and Engineering, Nanyang Technological University, Singapore, Singapore.
Sci Rep ; 12(1): 13294, 2022 Aug 02.
Article em En | MEDLINE | ID: mdl-35918369
ABSTRACT
Inline holography in the transmission electron microscope is a versatile technique which provides real-space phase information that can be used for the correction of imaging aberrations, as well as for measuring electric and magnetic fields and strain distributions. It is able to recover high-spatial-frequency contributions of the phase effectively but suffers from the weak transfer of low-spatial-frequency information, as well as from incoherent scattering. Here, we combine gradient flipping and phase prediction in an iterative flux-preserving focal series reconstruction algorithm with incoherent background subtraction that gives extensive access to the missing low spatial frequencies. A procedure for optimizing the reconstruction parameters is presented, and results from Fe-filled C nanospheres, and MgO cubes are compared with phase images obtained using off-axis holography.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article