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基于强度方程的运输计算相位检索,用于强大的定量相位成像

Shubham Tiwari, Satish Kumar Dubey, Dalip Singh Mehta

|December 15, 2025

概括

本研究引入了一种新的计算方法,用于使用强度方程 (TIE) 的传输进行相位检索. 改进的算法提高了定量相位成像 (QPI) 的准确性和稳定性,即使强度不均,失焦距离大.

科学领域:

计算机成像成像技术
光学物理学的光学物理.
图像重建图像重建

背景情况:

像强度方程运输 (TIE) 这样的定量相成像 (QPI) 方法对于非干扰成像非常有价值.
标准的TIE方法面临的局限性包括对均强度的敏感性,边界条件,以及在大距离失焦时的模糊.

研究的目的:

开发一种代阶段恢复算法,克服传统TIE的局限性.
提高QPI的准确性和稳定性,特别是在具有挑战性的实验条件下.

主要方法:

开发了一个代阶段恢复算法,集成了一个TIE阶段补偿解决方案.
该算法使用角光谱传播来最小化实验和理论轴强度导数之间的差异.
从TIE获得的基于物理的先验被纳入了代重建中.

主要成果:

模拟演示了算法的有效性在各种非均强度,噪声,边界条件和失焦距离场景中.
实验验证证了该方法在较长失焦距离的有效性.
与标准TIE解决方案相比,拟议的方法显示出强度.

结论:

提出的代算法为QPI提供了一个快速而准确的相位恢复解决方案.
这种方法有效地解决了强度方程传输的关键限制,提高了其实际适用性.

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