相位恢复
光学(聚焦)
计算机科学
相(物质)
强度(物理)
像素
翻译(生物学)
计算机视觉
人工智能
光学
算法
傅里叶变换
数学
物理
数学分析
生物化学
化学
量子力学
信使核糖核酸
基因
作者
Jingshan Zhong,Emrah Bostan,Dongdong Tian,Laura Waller
摘要
Phase retrieval methods have been proposed to recover phase from through-focus intensity images measured on a microscope. It requires measuring the defocus distances of intensity images, usually by a z-axis translation stage. However, it complicates the experiment, adds expense, and suffers from error in the z-stage measurement. In this paper, we propose an algorithm to recover phase from only through-focus intensity images without measuring extra parameters such as defocus, wavelength and pixel size. We formulate the phase retrieval as a least-square error optimization problem and propose an alternating update scheme to solve the nonconvex optimization problem. We validate the algorithm with simulation and experiment.
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