Synergistic use of gradient flipping and phase prediction for inline electron holography

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-spatia...

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Main Authors: Ozsoy-Keskinbora, Cigdem, Van den Broek, Wouter, Boothroyd, Chris, Dunin-Borkowski, Rafal E., van Aken, Peter A., Koch, Christoph T.
Other Authors: School of Materials Science and Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/165540
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author Ozsoy-Keskinbora, Cigdem
Van den Broek, Wouter
Boothroyd, Chris
Dunin-Borkowski, Rafal E.
van Aken, Peter A.
Koch, Christoph T.
author2 School of Materials Science and Engineering
author_facet School of Materials Science and Engineering
Ozsoy-Keskinbora, Cigdem
Van den Broek, Wouter
Boothroyd, Chris
Dunin-Borkowski, Rafal E.
van Aken, Peter A.
Koch, Christoph T.
author_sort Ozsoy-Keskinbora, Cigdem
collection NTU
description 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.
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spelling ntu-10356/1655402023-07-14T15:48:52Z Synergistic use of gradient flipping and phase prediction for inline electron holography Ozsoy-Keskinbora, Cigdem Van den Broek, Wouter Boothroyd, Chris Dunin-Borkowski, Rafal E. van Aken, Peter A. Koch, Christoph T. School of Materials Science and Engineering Facility for Analysis, Characterisation, Testing and Simulation Engineering::Materials Electric Field Magnetic Domains 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. Published version Open Access funding enabled and organized by Projekt DEAL. This article was funded by Horizon 2020 Frame- work Programme (823717) C.T.K. thanks the Deutsche Forschungsgemeinschaf (DFG, German Research Foundation—project numbers 182087777—SFB 951 and KO 2911/12-1) for fnancial support. Te research leading to these results received funding from the European Union’s Horizon 2020 Research and Innovation Programme (Grant No. 823717, project “ESTEEM3”). 2023-03-29T06:03:28Z 2023-03-29T06:03:28Z 2022 Journal Article Ozsoy-Keskinbora, C., Van den Broek, W., Boothroyd, C., Dunin-Borkowski, R. E., van Aken, P. A. & Koch, C. T. (2022). Synergistic use of gradient flipping and phase prediction for inline electron holography. Scientific Reports, 12(1), 13294-. https://dx.doi.org/10.1038/s41598-022-17373-y 2045-2322 https://hdl.handle.net/10356/165540 10.1038/s41598-022-17373-y 10.1038/s41598-022-17373-y 35918369 2-s2.0-85135242295 1 12 13294 en Scientific Reports © 2022 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. application/pdf
spellingShingle Engineering::Materials
Electric Field
Magnetic Domains
Ozsoy-Keskinbora, Cigdem
Van den Broek, Wouter
Boothroyd, Chris
Dunin-Borkowski, Rafal E.
van Aken, Peter A.
Koch, Christoph T.
Synergistic use of gradient flipping and phase prediction for inline electron holography
title Synergistic use of gradient flipping and phase prediction for inline electron holography
title_full Synergistic use of gradient flipping and phase prediction for inline electron holography
title_fullStr Synergistic use of gradient flipping and phase prediction for inline electron holography
title_full_unstemmed Synergistic use of gradient flipping and phase prediction for inline electron holography
title_short Synergistic use of gradient flipping and phase prediction for inline electron holography
title_sort synergistic use of gradient flipping and phase prediction for inline electron holography
topic Engineering::Materials
Electric Field
Magnetic Domains
url https://hdl.handle.net/10356/165540
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