Estimation of point spread function of an imaging system using a programmable target

Buddha, S S Goutam; Kalita, Ranjan; Boruah, Bosanta R.

doi:10.1117/12.2287786

Cited by 1 publication

(1 citation statement)

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“…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.…”

Section: Introductionmentioning

confidence: 99%

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

Buddha¹,

Kumar²,

Konwar³

et al. 2023

Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXX

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The point-spread function (PSF) plays a fundamental role in deciding the resolution of an optical microscope. One way to find the experimental PSF is to image sub-resolution nanobead. However, the PSF can also be approximated numerically by knowing the optical arrangement of the imaging system. 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 application of our 2D PSF estimation scheme to each z slice. Here we use a standard resolution test target as the arbitrary target whose geometrical-optics predicted image can be easily constructed.

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Section: Introductionmentioning

confidence: 99%