Recovering low spatial frequencies in wavefront sensing based on intensity measurements

IF 3.56 Q1 Medicine
Amin Parvizi, Wouter Van den Broek, Christoph T. Koch
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引用次数: 18

Abstract

The transport of intensity equation (TIE) offers a convenient method to retrieve the phase of a wave function from maps of the irradiance (images) recorded at different planes along the optic axis of an optical system. However, being a second-order partial differential equation, even for noise-free data a unique solution of the TIE requires boundary conditions to be specified which are generally not accessible experimentally, jeopardizing retrieval of the low-frequency information in particular. Here we introduce an iterative algorithm which forgoes the need for explicit boundary conditions and combines the well-known reciprocal space solution of the TIE with the charge-flipping algorithm that has originally been developed to solve the crystallographic phase problem in X-ray diffraction. Application of this algorithm to experimental data and comparison with conventionally used algorithms demonstrates an improved retrieval of the low spatial frequencies of the phase.

Abstract Image

基于强度测量的波前传感低空间频率恢复
强度传递方程(TIE)提供了一种方便的方法,可以从沿光学系统光轴在不同平面上记录的辐照度(图像)图中检索波函数的相位。然而,作为二阶偏微分方程,即使对于无噪声数据,TIE的唯一解也需要指定边界条件,而这些边界条件通常无法通过实验获得,这尤其会损害低频信息的检索。在这里,我们介绍了一种迭代算法,它放弃了对显式边界条件的需要,并将著名的互易空间解与电荷翻转算法结合起来,该算法最初是为了解决x射线衍射中的晶体相问题而开发的。将该算法应用于实验数据,并与传统算法进行了比较,结果表明该算法对相位的低空间频率检索有所改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advanced Structural and Chemical Imaging
Advanced Structural and Chemical Imaging Medicine-Radiology, Nuclear Medicine and Imaging
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