In this paper we propose a point spread function (PSF) estimation scheme for an optical microscope. The scheme is based on minimizing the least square error between the image of an arbitrary target and the convolution of a stochastically constructed PSF array with the geometrical-optics predicted image of the target. The proposed scheme is independent of the geometry of the imaging system and will work in any type of optical microscopes. The scheme enables PSF estimation without requiring any modification of the microscope setup. We have demonstrated the proposed scheme both numerically and experimentally.

中文翻译：

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利用最小二乘误差的随机最小化估计光学显微镜的点扩散函数

在本文中，我们提出了一种用于光学显微镜的点扩展函数（PSF）估计方案。该方案基于最小化任意目标的图像与随机构造的PSF阵列与目标的几何光学预测图像的卷积之间的最小平方误差。所提出的方案与成像系统的几何形状无关，并且可以在任何类型的光学显微镜中工作。该方案无需任何显微镜设置的修改即可进行PSF估算。我们已经在数值上和实验上证明了所提出的方案。