Estimation of point spread function of an optical microscope using stochastic minimization of least square errors

Abstract

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.

Modeling and experiment on point spread function of refractive and metasurface microlens arrays used in 3D integral imaging light field displays

“…This table shows that the FWHM increases as we move towards the corner views which indicates a higher degradation in image quality at higher angles. Figure 4 illustrates the simulated PSFs for a refractive lens in VL and regenerated PSFs from the displayed red pixel and measured output based on the minimization of least square method presented in [7]. The goal of modeling the PSF of the MLA is to enable optimization of the 3D LFD for the full-color wide field-of-view image quality.…”

Estimation of 3D point spread function of a widefield microscope by stochastic least square minimization method

“…In this paper, we estimate the experimental three-dimensional PSF of a widefield microscope by taking several z-stacks of an arbitrary target, followed by applying our 2D PSF estimation scheme to each z slice. [22][23][24] The 2D PSF estimation is based on the minimization of 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. In this work, we use a standard resolution test target whose geometrical-optics predicted image could be easily constructed.…”