5 papers
Real-Time Atomic-Resolution Electron Phase Imaging without Probe Calibration via Ptychography-Supervised Learning
H. Yue, C. -C. Chen, C. -N. Hsiao +4
Atomic-scale phase imaging is central to resolving defects, interfaces, and weakly scattering atoms that govern the behavior of nanoscale materials. Electron ptychography delivers…
Breaking optoelectronic SNR limitations via physics-consistent computational diffractive imaging
Yun Xie, Bianli Zhao, Han Yue +5
Ptychography is a powerful lensless imaging technique capable of approaching the diffraction limit, yet its performance is increasingly constrained by non-ideal detection hardware.…
High-fidelity tabletop nanoscopy enabled by non-linear spectral preconditioning
Yun Xie, Zhiyi Huang, Bianli Zhao +2
Ptychography is a powerful lensless imaging technique that overcomes conventional numerical aperture limits to achieve diffraction-limited resolution. While routine at high-brillia…
Circular Phase Representation and Geometry-Aware Optimization for Ptychographic Image Reconstruction
Carson Yu Liu, Jun Cheng, Chien-Chun Chen +1
Traditional iterative reconstruction methods are accurate but computationally expensive, limiting their use in high-throughput and real-time ptychography. Recent deep learning appr…
A Physics-Inspired Deep Learning Framework with Polar Coordinate Attention for Ptychographic Imaging
Han Yue, Jun Cheng, Yu-Xuan Ren +4
Ptychographic imaging confronts inherent challenges in applying deep learning for phase retrieval from diffraction patterns. Conventional neural architectures, both convolutional n…