most citedNoise Calibration and Spatial-Frequency Interactive Network for STEM Image Enhancement

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Spatial-Frequency Learning for Scanning Transmission Electron Microscopy Image Enhancement

Hesong Li, Ying Fu, Ziqi Wu +2

Scanning Transmission Electron Microscopy (STEM) enables the observation of atomic arrangements at sub-angstrom resolution and plays a key role in the discovery and characterizatio…

cs.CV2026

NanoMorph-3D: An End-to-End Physics-Driven Unrolling Framework for Nanomaterial Reconstruction

Beiyuan Zhang, Hesong Li, Ziqi Wu +2

Precise 3D characterization of nanomaterials is essential for unlocking structure-property relationships. However, standard electron tomography is fundamentally limited by the miss…

cs.CV2026

3D Gaussian Splatting for Annular Dark Field Scanning Transmission Electron Microscopy Tomography Reconstruction

Beiyuan Zhang, Hesong Li, Ruiwen Shao +1

Analytical Dark Field Scanning Transmission Electron Microscopy (ADF-STEM) tomography reconstructs nanoscale materials in 3D by integrating multi-view tilt-series images, enabling…

cs.CV2026

Statistical Characteristic-Guided Denoising for Rapid High-Resolution Transmission Electron Microscopy Imaging

Hesong Li, Ziqi Wu, Ruiwen Shao +1

High-Resolution Transmission Electron Microscopy (HRTEM) enables atomic-scale observation of nucleation dynamics, which boosts the studies of advanced solid materials. Nonetheless,…

cs.CV2025★ 1 cited

Noise Calibration and Spatial-Frequency Interactive Network for STEM Image Enhancement

Hesong Li, Ziqi Wu, Ruiwen Shao +2

Scanning Transmission Electron Microscopy (STEM) enables the observation of atomic arrangements at sub-angstrom resolution, allowing for atomically resolved analysis of the physica…