快照(计算机存储)
衍射
相位恢复
相干衍射成像
压缩传感
物理
时间分辨率
图像分辨率
深度学习
光学
帧(网络)
迭代重建
人工智能
计算机科学
计算机视觉
傅里叶变换
操作系统
电信
量子力学
作者
Ziyang Chen,Siming Zheng,Zhishen Tong,Xin Yuan
出处
期刊:Optica
[The Optical Society]
日期:2022-06-17
卷期号:9 (6): 677-677
被引量:15
标识
DOI:10.1364/optica.454582
摘要
Coherent diffraction imaging (CDI), as a lensless imaging technique, can achieve a high-resolution image with intensity and phase information from a diffraction pattern. To capture high-speed and high-spatial-resolution scenes, we propose a temporal compressive CDI system. A two-step algorithm using physics-driven deep-learning networks is developed for multi-frame spectra reconstruction and phase retrieval. Experimental results demonstrate that our system can reconstruct up to eight frames from a snapshot measurement. Our results offer the potential to visualize the dynamic process of molecules with large fields of view and high spatial and temporal resolutions.
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