数字全息显微镜中基于学习的定量相位成像:不同模型的比较研究

Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP) Pub Date : 1900-01-01 DOI:10.1364/3d.2022.3f3a.4

R. Castaneda, A. Doblas, C. Trujillo

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引用次数: 0

摘要

本文报道了三种基于学习的数字全息显微镜定量相位成像方法的性能比较。我们比较了模型产生的噪声水平、相位不连续以及拟合和预测时间。

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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Learning-based Quantitative Phase Imaging in Digital Holographic Microscopy: a comparison study between different models

A performance comparison between three learning-based approaches for quantitative phase imaging in digital holographic microscopy is reported. We have compared the models' resulting noise level, phase discontinuities, and fitting and prediction times.

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来源期刊

Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)

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