光子学报, 2018, 47 (4): 0422003, 网络出版: 2018-03-15  

利用MAP评估提高表面等离子体结构光照明技术成像质量

Improving the Imaging Performance of Plasmonic Structured Illumination Microscopy Using MAP Estimation Method
作者单位
中国科学院长春光学精密机械与物理研究所 应用光学国家重点实验室,长春 130033
摘要
经典的恢复算法不能有效地恢复被观测物的全频域信息, 空间频率的缺失导致超分辨图像伴有较为严重的旁瓣.本文提出利用最大后验概率(MAP)评估解决表面等离子体结构光照明技术中的光学旁瓣问题.结果表明MAP评估恢复算法可以有效恢复物质的高空间频率信息, 并且通过合理选择优化参数达到抑制光学旁瓣的目的.在波长520 nm, 数值孔径1.3下, 可获得半高全宽65 nm的横向分辨力, 约为传统荧光显微镜的3.6倍.该技术在生命科学观测中具有潜在应用价值.
Abstract
The classical restoration algorithm can not effectively recover the full frequency domain information of the object, which leads to the serious optical sidelobes. In this paper, the application of metal nano arrays in structured light illumination is studied, and the problem of optical sidelobes in plasmonic structured illumination microscopy is solved using Maximum A Posteriori (MAP) estimation. The research shows that the MAP estimation method can effectively restore the high spatial frequency information, and through the reasonable selection of optimization parameters to achieve the purpose of suppressing optical sidelobes. At the wavelength of 520 nm, 1.3 numerical aperture, the lateral resolution can be obtained at FWHM of 65 nm, which is about 3.6 times of the traditional fluorescence microscope. This technology has potential application application in the field of life science.

余慕欣, 周文超, 吴一辉. 利用MAP评估提高表面等离子体结构光照明技术成像质量[J]. 光子学报, 2018, 47(4): 0422003. YU Mu-xin, ZHOU Wen-chao, WU Yi-hui. Improving the Imaging Performance of Plasmonic Structured Illumination Microscopy Using MAP Estimation Method[J]. ACTA PHOTONICA SINICA, 2018, 47(4): 0422003.

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