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.

中文翻译：

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在明场荧光显微镜和超分辨率散斑显微镜中减少散焦光的数值方法。

通过涉及三维（3D）样本和3D点扩散函数的卷积过程，对在明场荧光显微镜中记录的标准二维（2D）图像进行了严格建模。我们在合成和实验数据上显示，使用适当的3D点扩展函数对2D图像进行去卷积可减少散焦荧光的影响，从而获得更好的图像对比度和分辨率。这种方法对于超分辨率散斑显微镜特别有趣，其中分辨率增益直接源自每个散斑图像去卷积的效率。