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首页> 外文期刊>Journal of the Optical Society of America, A. Optics, image science, and vision >Numerical approach for reducing out-of-focus light in bright-field fluorescence microscopy and superresolution speckle microscopy
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Numerical approach for reducing out-of-focus light in bright-field fluorescence microscopy and superresolution speckle microscopy

机译:减少亮场荧光显微镜和超级凝固斑点显微镜下焦光的数值方法

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摘要

The standard two-dimensional (2D) image recorded in bright-field fluorescence microscopy is rigorously modeled by a convolution process involving a three-dimensional (3D) sample and a 3D point spread function. We show on synthetic and experimental data that deconvolving the 2D image using the appropriate 3D point spread function reduces the contribution of the out-of-focus fluorescence, resulting in a better image contrast and resolution. This approach is particularly interesting for superresolution speckle microscopy, in which the resolution gain stems directly from the efficiency of the deconvolution of each speckle image. (c) 2019 Optical Society of America
机译:记录在亮场荧光显微镜中的标准二维(2D)图像通过涉及三维(3D)样本和3D点扩展功能的卷积过程严格地建模。 我们在使用适当的3D点扩展功能中解构2D图像的合成和实验数据显示,降低焦点荧光的贡献,从而更好地形成了更好的图像对比度和分辨率。 对于超级化散斑显微镜显微镜,该方法特别有趣,其中分辨率直接从每个散斑图像的去卷积效率直接产生茎。 (c)2019年光学学会

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