Quantitative Structure Determination from Experimental Four-Dimensional Scanning Transmission Electron Microscopy via the Scattering Matrix
Open Access
- 12 November 2025
- journal article
- Published by Oxford University Press (OUP) in Microscopy and Microanalysis
- Vol. 31 (6)
Abstract
Considerable inroads have recently been made on algorithms to determine the sample potential from four-dimensional scanning transmission electron microscopy data from thick samples where multiple scattering cannot be neglected. This paper further develops the scattering matrix approach to such structure determination. Through simulation, we demonstrate how this approach can be modified to better handle partial spatial coherence, unknown probe defocus, and information from the dark field region. By combining these developments we reconstruct the electrostatic potential of a monolithic SrTiO3 crystal showing good quantitative agreement with the expected structure.Keywords
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This publication has 63 references indexed in Scilit:
- Practical considerations for using K3 cameras in CDS mode for high-resolution and high-throughput single particle cryo-EMJournal of Structural Biology, 2021
- A multiple scattering algorithm for three dimensional phase contrast atomic electron tomographyUltramicroscopy, 2020
- Lateral position correction in ptychography using the gradient of intensity patternsUltramicroscopy, 2018
- Quantitative convergent-beam electron diffraction and quantum crystallography—the metallic bond in aluminiumStructural Chemistry, 2017
- Correcting nonlinear drift distortion of scanning probe and scanning transmission electron microscopies from image pairs with orthogonal scan directionsUltramicroscopy, 2016
- Structure and energetics of the coherent interface between the θ′ precipitate phase and aluminium in Al–CuActa Materialia, 2011
- Practical methods for the measurement of spatial coherence—A comparative studyUltramicroscopy, 2011
- Dynamics of annular bright field imaging in scanning transmission electron microscopyUltramicroscopy, 2010
- Statistical inverse problems: Discretization, model reduction and inverse crimesJournal of Computational and Applied Mathematics, 2007
- Beyond the conventional information limit: the relevant coherence functionUltramicroscopy, 1994