Compressive multi-beam scanning transmission electron microscopy

We demonstrate a multi-beam scanning transmission electron microscopy (STEM) imaging that integrates down-sampling with super-resolution image reconstruction via a compressive sensing framework. A custom condenser aperture with six randomly positioned circular holes is employed to produce a multi-beam STEM probe, with the beam shape and distribution tuned through defocus. While the raw multi-beam images exhibit overlapping patterns, reconstruction using Adam optimization and total variation normalization yields high-fidelity images that closely reproduce the original sample structures, even from substantially down-sampled data. The proposed approach offers a pathway toward significant acceleration of such techniques through multibeam sparse sampling and computational reconstruction potentially useful for the analytical scanning methods in general.

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Publication Details

Journal
Ultramicroscopy
Published
2026-03-15
DOI
https://doi.org/10.1016/j.ultramic.2026.114353
Primary Topic
Advanced Electron Microscopy Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Compressive multi-beam scanning transmission electron microscopy

Ryoichi Horisaki, Akira Yasuhara, Takumi Sannomiya
Ultramicroscopy
Advanced Electron Microscopy Techniques and Applications
article

Compressive multi-beam scanning transmission electron microscopy

Ryoichi Horisaki, Akira Yasuhara, Takumi Sannomiya
article en

Abstract

We demonstrate a multi-beam scanning transmission electron microscopy (STEM) imaging that integrates down-sampling with super-resolution image reconstruction via a compressive sensing framework. A custom condenser aperture with six randomly positioned circular holes is employed to produce a multi-beam STEM probe, with the beam shape and distribution tuned through defocus. While the raw multi-beam images exhibit overlapping patterns, reconstruction using Adam optimization and total variation normalization yields high-fidelity images that closely reproduce the original sample structures, even from substantially down-sampled data. The proposed approach offers a pathway toward significant acceleration of such techniques through multibeam sparse sampling and computational reconstruction potentially useful for the analytical scanning methods in general.

UltramicroscopyVol. 283
Tokyo Institute of Technology (JP), JEOL (Japan) (JP), The University of Tokyo (JP)
Openalex Percentile: Top 100%
Advanced Electron Microscopy Techniques and Applications
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Compressive multi-beam scanning transmission electron microscopy — Ryoichi Horisaki, Akira Yasuhara, et al. · Ultramicroscopy (2026) | TGRS Research Map | TGRS