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Quantitative Structure Determination from Experimental Four-Dimensional Scanning Transmission Electron Microscopy via

Emmanuel W C Terzoudis-Lumsden1, Alireza Sadri1, Matthew Weyland2,3

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Microscopy and Microanalysis : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada
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Summary
This summary is machine-generated.

This study enhances algorithms for determining sample potential from scanning transmission electron microscopy (STEM) data of thick samples. The improved scattering matrix approach accurately reconstructs electrostatic potential, even with multiple scattering effects.

Keywords:
4D STEMmultiple scatteringphase contraststructure retrieval

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Area of Science:

  • Materials Science
  • Crystallography
  • Electron Microscopy

Background:

  • Determining sample potential from 4D scanning transmission electron microscopy (STEM) data is challenging for thick samples due to multiple scattering.
  • Existing algorithms require further development to handle complex scattering phenomena.

Purpose of the Study:

  • To advance the scattering matrix approach for accurate structure determination from STEM data.
  • To improve handling of partial spatial coherence, probe defocus, and dark-field imaging in electron microscopy.

Main Methods:

  • Development of an enhanced scattering matrix approach for 4D STEM data analysis.
  • Simulations to validate modifications for partial coherence, probe defocus, and dark-field data incorporation.
  • Reconstruction of electrostatic potential using the refined method.

Main Results:

  • The modified scattering matrix approach effectively handles multiple scattering in thick samples.
  • Simulations demonstrated successful incorporation of partial spatial coherence, unknown probe defocus, and dark-field information.
  • Accurate reconstruction of the electrostatic potential for a strontium titanate (SrTiO3) crystal was achieved.

Conclusions:

  • The enhanced scattering matrix method provides a robust tool for 4D STEM-based structure determination.
  • This approach offers improved quantitative agreement with expected crystal structures, even for complex samples.