激光与光电子学进展, 2021, 58 (18): 1811008, 网络出版: 2021-08-23
基于点扩散函数工程的计算显微成像研究进展 
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Research Progress of Computational Microscopy Imaging Based on Point Spread Function Engineering
成像系统 计算成像 点扩散函数 衍射理论 编码孔径 imaging systems computational imaging point spread function diffraction theory coded aperture
摘要
点扩散函数(PSF)是衡量显微镜成像性能的关键参数,传统显微成像技术中,PSF越接近理想的艾里斑,表明系统的成像性能越好。随着计算显微成像技术的发展,显微镜在各个方面的性能均得到了极大的提升,特别是对显微镜PSF的主动操控,能显著提高其成像分辨率和速度等性能。因此,从原理和方法上介绍了基于PSF工程的计算显微成像研究进展,并分析了该技术面临的主要问题与挑战,最后对该技术未来的发展方向进行了展望。
Abstract
The point spread function(PSF) is a key parameter to evaluate the performance of microscopes. In conventional microscopes, the closer the distance between PSF and the ideal Airy disk, the better the imaging performance of the system. With the development of computational microscopy imaging technology, the performance of microscopes has been greatly improved in many aspects. Especially, the active manipulation of the PSF of the microscope can significantly improves the performance of the imaging resolution and speed, etc. In this review, the research progress in computational microscopy imaging based on PSF engineering is summarized in terms of principles and methods. Moreover, the problems and challenges are analyzed, and its prospect is also given.
刘鑫, 匡翠方, 刘旭, 郝翔. 基于点扩散函数工程的计算显微成像研究进展[J]. 激光与光电子学进展, 2021, 58(18): 1811008. Xin Liu, Cuifang Kuang, Xu Liu, Xiang Hao. Research Progress of Computational Microscopy Imaging Based on Point Spread Function Engineering[J]. Laser & Optoelectronics Progress, 2021, 58(18): 1811008.
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