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用于定量相位成像的多路复用离轴全息术在空间带宽效率上是否比同轴全息术更高?[特邀报告]

Is multiplexed off-axis holography for quantitative phase imaging more spatial bandwidth-efficient than on-axis holography? [Invited].

作者信息

Dardikman Gili, Shaked Natan T

出版信息

J Opt Soc Am A Opt Image Sci Vis. 2019 Feb 1;36(2):A1-A11. doi: 10.1364/JOSAA.36.0000A1.

DOI:10.1364/JOSAA.36.0000A1
PMID:30874112
Abstract

Digital holographic microcopy is a thriving imaging modality that attracts considerable research interest due to its ability not only to create excellent label-free contrast but also to supply valuable physical information regarding the density and dimensions of the sample with nanometer-scale axial sensitivity. Three basic holographic recording geometries currently exist, including on-axis, off-axis, and slightly off-axis holography, each of which enables a variety of architectures in terms of bandwidth use and compression capacity. Specifically, off-axis holography and slightly off-axis holography allow spatial hologram multiplexing, enabling one to compress more information into the same digital hologram. In this paper, we define an efficiency score to analyze the various possible architectures and compare the signal-to-noise ratio and the mean squared error obtained using each of them, thus determining the optimal holographic method.

摘要

数字全息显微术是一种蓬勃发展的成像方式,因其不仅能够产生出色的无标记对比度,还能以纳米级轴向灵敏度提供有关样品密度和尺寸的有价值物理信息,故而吸引了大量的研究兴趣。目前存在三种基本的全息记录几何结构,包括同轴全息、离轴全息和微离轴全息,就带宽使用和压缩能力而言,每种结构都能实现多种架构。具体而言,离轴全息和微离轴全息允许空间全息图复用,使人们能够将更多信息压缩到同一数字全息图中。在本文中,我们定义了一个效率分数来分析各种可能的架构,并比较使用每种架构获得的信噪比和均方误差,从而确定最佳全息方法。

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Roadmap on Label-Free Super-Resolution Imaging.无标记超分辨率成像路线图
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PhUn-Net: ready-to-use neural network for unwrapping quantitative phase images of biological cells.PhUn-Net:用于展开生物细胞定量相位图像的即用型神经网络。
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