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首页> 外文期刊>Journal of optical technology >Optimization-based image reconstruction method for super-resolution structured-illumination microscopy
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Optimization-based image reconstruction method for super-resolution structured-illumination microscopy

机译:基于优化的超分辨率结构照显微镜图像重建方法

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This paper discuses the problem of reconstructing images in digital form with resolution that exceeds the limiting resolution of a diffraction-limited system from a set of images with spatially modulated illumination. The reconstruction method described here is based on a numerical-analytical solution of the problem of minimizing the mismatch functional of an array of recorded images with their mathematical model. Models of planar and three-dimensional objects are considered, and the effectiveness of the proposed method in computational experiments is demonstrated. By comparison with the classical reconstruction method, the proposed method is distinguished by good stability against deviations of the system parameters from the calculated values, allows the spatial-modulation parameters of the illumination to be automatically estimated, and makes it possible to use a priori knowledge concerning the signal to be reconstructed. Our results can be used when programs are being developed for reconstructing images in structured-illumination microscopy. (C) 2020 Optical Society of America
机译:本文讨论了从一组具有空间调制照明的图像中以分辨率超过衍射极限系统的极限分辨率以数字形式重建图像的问题。这里描述的重建方法基于数值解析解,该求解是最小化记录图像阵列与其数学模型的失配泛函的问题。考虑了平面和三维物体的模型,并证明了所提方法在计算实验中的有效性。与经典的重构方法相比,所提方法具有良好的稳定性,可以防止系统参数与计算值的偏差,可以自动估计照明的空间调制参数,并且能够使用有关待重构信号的先验知识。我们的结果可用于开发用于在结构照明显微镜中重建图像的程序。(C) 2020年美国光学学会

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