Three-dimensional reconstruction of weakly scattering objects from single-defocus 4D-STEM data
Year: 2026
Type: preprint
Abstract: Three-dimensional (3D) atomic-structure analysis is of central importance in (scanning) transmission electron microscopy (STEM). STEM techniques to reconstruct 3D structure include tilt-series or defocus-series annular dark-field, best suited to heavier atomic species, and dynamical-scattering-model inversion applied to single-defocus four-dimensional (4D) STEM data, requiring computationally expensive post-experiment analysis. In this study, we propose a 3D-structure linear inversion (3D LINV) STEM algorithm, which enables a fast and direct reconstruction of 3D structures from a single-defocus 4D-STEM dataset. This method is based on solving linear equations relating the measured 4D-STEM data and the unknown 3D specimen potential under the thick weak phase object approximation. We show the capabilities of 3D LINV STEM through systematic 4D-STEM simulations across various observation parameters such as specimen thickness, partial coherence, and shot noise, and through an experimental demonstration of 3D structure reconstruction of a stacked freestanding membrane with atomic-scale lateral resolution and nanometre-scale depth resolution.
Source: arXiv (Cornell University)
Language: English
Subfield: Structural Biology
Domain: Life Sciences
Open Access status: green
Awards: G1350601308, 最適明視野電子顕微鏡法によるゼオライト材料特性発現機構の原子論的研究, G210128559, G2262467369, Three-Dimensional Integration of Two-Dimensional Ferroelectrics and Innovation in Ferroelectric-Gate Transistors, 二次元強誘電体の自発分極制御とメモリデバイス応用, 先進的合成法を駆使した遷移金属化合物の創製と構造物性相関に基づく新規機能特性の探求, 超高感度原子結像法による電子線敏感材料の局所構造解析, G4668435882, 強誘電体ルネッサンス:ペロブスカイトを凌駕する「第四世代材料」で実現するカーボンニュートラル, G6842830595, G8603342924
OpenAlex ID: W7221746956
