Near, far, wherever you are: simulations on the dose efficiency of holographic and ptychographic coherent imaging

用于生物样品的宽带叠层成像

Broadband ptychographic imaging for biological samples

针对宽带光源与CDI高相干性假设冲突的问题，提出在叠层重建中引入盲反卷积，无需光谱先验即可恢复生物样品的高质量振幅与相位图像。

Deep learning at the edge enables real-time streaming ptychographic imaging

Coherent microscopy techniques provide an unparalleled multi-scale view of materials across scientific and technological fields, from structural materials to quantum devices, from integrated circuits to biological cells. Driven by the construction of brighter sources and high-rate detectors, coherent X-ray microscopy methods like ptychography are poised to revolutionize nanoscale materials characterization. However, associated significant increases in data and compute needs mean that conventional approaches no longer suffice for recovering sample images in real-time from high-speed coherent im…

Real-time sparse-sampled Ptychographic imaging through deep neural networks

Ptychography has rapidly grown in the fields of X-ray and electron imaging for its unprecedented ability to achieve nano or atomic scale resolution while simultaneously retrieving chemical or magnetic information from a sample. A ptychographic reconstruction is achieved by means of solving a complex inverse problem that imposes constraints both on the acquisition and on the analysis of the data, which typically precludes real-time imaging due to computational cost involved in solving this inverse problem. In this work we propose PtychoNN, a novel approach to solve the ptychography reconstructi…

多波长鬼成像：综述

Multi-wavelength ghost imaging: a review

多波长鬼成像通过结合不同波长的光子技术，实现了从极紫外到太赫兹波段的广泛应用，提供低损伤显微镜、视频速率激光雷达和非破坏性检测等新方法。

基于深度生成模型的叠层衍射成像中噪声鲁棒潜向量重建

Noise-robust latent vector reconstruction in ptychography using deep generative models

本文提出将预训练自编码器深度生成模型集成到自动微分叠层衍射成像框架中，在低维潜空间而非物体空间搜索解，实现噪声鲁棒的潜向量重建，并可视化优化景观以分析逆问题收敛行为。