Virtual single-pixel imaging-based deconvolution method for spatial resolution improvement in wide-field fluorescence microscopy.
Virtual single-pixel imaging-based deconvolution method for spatial resolution improvement in wide-field fluorescence microscopy.
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DOI：
10.1364/boe.396336
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发表时间：
2020-06
影响因子：
3.4
通讯作者：
Wei Zhang;Siwei Li;Zhigang Yang;Bin Yu;Danying Lin;Jia Xiong;J. Qu
中科院分区：
文献类型：
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作者：
Wei Zhang;Siwei Li;Zhigang Yang;Bin Yu;Danying Lin;Jia Xiong;J. Qu
去卷积技术已广泛应用于荧光显微术中，以恢复生物样品的精细结构。然而，传统的反褶积方法通常在具有接近瑞利准则的间隔的密集结构中实现很少的对比度增强。在这里，我们开发了一种新的去卷积方法，称为虚拟单像素成像（v-SPI）。与现有的反卷积方法不同，v-SPI的目标是直接恢复模糊程度较低的图像，而不是实际上无法获得的样本分布。该方法只需在空间域中求解一个线性矩阵即可得到结果。此外，该方法不需要标定显微镜系统的参数。仿真和实验结果表明，所提出的v-SPI方法可以显着提高密集结构的对比度，并获得了24%的分辨率提高。
Deconvolution technique has been widely used in fluorescence microscopy to restore fine structures of biological samples. However, conventional deconvolution methods usually achieve little contrast enhancement in dense structures that have the intervals close to the Rayleigh criterion. Herein, we developed a novel deconvolution method, termed virtual single-pixel imaging (v-SPI). Differing from existing deconvolution methods, v-SPI aims to retrieve the less blurred image directly, not the sample distribution which cannot be actually obtained. And the result can be retrieved simply by solving a linear matrix in spatial domain. In addition, the proposed method has no requirement of calibrating parameters of microscope system. Simulation and experimental results demonstrated that the proposed v-SPI method can enhance the contrast of dense structures significantly and acquire a 24% increase in resolution.