激光与光电子学进展, 2021, 58 (18): 1811009, 网络出版: 2021-09-03   

计算傅里叶显微成像研究进展 下载: 1656次特邀综述

Progress in Computational Fourier Microscopy
作者单位
1 暨南大学光电工程系, 广东 广州 510632
2 广东技术师范大学光电工程学院, 广东 广州 510665
摘要
随着微纳光子学的兴起,傅里叶显微术已成为一种表征微纳结构样品的重要技术。传统的傅里叶显微术又称为后焦面傅里叶谱显微术,只能获取傅里叶谱分布信息,无法获取和傅里叶谱对应的样品空间结构图像,给表征微纳结构样品带来不便。由此,发展了一种基于计算成像模式的计算傅里叶显微成像技术,不仅能获取傅里叶谱分布信息,还能获得一系列与不同傅里叶谱对应的样品空间结构图像,甚至可以获得样品的三维空间结构图像,有利于对样品的全面表征,进一步拓宽傅里叶显微术的应用范围。本文将介绍计算傅里叶显微成像技术的基本概念、原理、研究进展、应用前景。
Abstract
With the rise of micro-/nano-photonics, Fourier microscopy has become an important technique for characterizing micro-/nano-structured samples. However, traditional Fourier microscopy, also known as back-focal plane Fourier microscopy, can only obtain Fourier spectral distribution information, but not the spatial structure of the sample corresponding to the Fourier spectrum, which is inconvenience for characterizing of micro-/nano-structured samples. Thus, we have developed a computational Fourier microscopy based on computational imaging mode. It can not only obtain the Fourier spectrum distribution information, but also obtain a series of spatial structure images corresponding to different Fourier spectra and three-dimensional spatial structure image of the sample, which is beneficial to characterize the sample comprehensively and broaden the application range of Fourier microscopy. This paper will introduce the basic concepts, principles, research progress, and application prospects of computational Fourier microscopy.

钟金钢, 姚曼虹, 彭军政. 计算傅里叶显微成像研究进展[J]. 激光与光电子学进展, 2021, 58(18): 1811009. Jingang Zhong, Manhong Yao, Junzheng Peng. Progress in Computational Fourier Microscopy[J]. Laser & Optoelectronics Progress, 2021, 58(18): 1811009.

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