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Bangun, A.* ; Melnyk, O. ; Marz, B.* ; Diederichs, B.* ; Clausen, A.* ; Weber, D.* ; Filbir, F. ; Muller-Caspary, K.*

Inverse multislice ptychography by layer-wise optimisation and sparse matrix decomposition.

IEEE Trans. Comput. Imaging 8, 996-1011 (2022)
Publ. Version/Full Text DOI
Open Access Hybrid
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We propose algorithms based on an optimisation method for inverse multislice ptychography in, e.g. electron microscopy. The multislice method is widely used to model the interaction between relativistic electrons and thick specimens. Since only the intensity of diffraction patterns can be recorded, the challenge in applying inverse multislice ptychography is to uniquely reconstruct the electrostatic potential in each slice up to some ambiguities. In this conceptual study, we show that a unique separation of atomic layers for simulated data is possible when considering a low acceleration voltage. We also introduce an adaptation for estimating the illuminating probe. For the sake of practical application, we finally present slice reconstructions using experimental 4D scanning transmission electron microscopy (STEM) data.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Electron Microscopy ; Multislice Method ; Phase Retrieval ; Ptychography
Language english
Publication Year 2022
HGF-reported in Year 2022
ISSN (print) / ISBN 2333-9403
e-ISSN 2333-9403
Journal IEEE Transactions on Computational Imaging
Quellenangaben Volume: 8, Issue: , Pages: 996-1011 Article Number: , Supplement: ,
Publisher IEEE
Reviewing status Peer reviewed
Institute(s) Institute of Biological and Medical Imaging (IBMI)
Helmholtz AI - FZJ (HAI - FZJ)
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-505595-001
DOI 10.1109/TCI.2022.3218993
WOS ID WOS:000888957200001
Scopus ID 85141618463
Erfassungsdatum 2022-12-07
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