scholarly journals Wavefront Parameters Recovering by Using Point Spread Function

2020 ◽  
pp. short47-1-short47-7
Author(s):  
Olga Kalinkina ◽  
Tatyana Ivanova ◽  
Julia Kushtyseva

At various stages of the life cycle of optical systems, one of the most important tasks is quality of optical system elements assembly and alignment control. The different wavefront reconstruction algorithms have already proven themselves to be excellent assistants in this. Every year increasing technical capacities opens access to the new algorithms and the possibilities of their application. The paper considers an iterative algorithm for recovering the wavefront parameters. The parameters of the wavefront are the Zernike polynomials coefficients. The method involves using a previously known point spread function to recover Zernike polynomials coefficients. This work is devoted to the research of the defocusing influence on the convergence of the algorithm. The method is designed to control the manufacturing quality of optical systems by point image. A substantial part of the optical systems can use this method without additional equipment. It can help automate the controlled optical system adjustment process.

1978 ◽  
Vol 56 (1) ◽  
pp. 12-16
Author(s):  
A. K. Gupta ◽  
R. N. Singh ◽  
K. Singh

Disk spread functions are evaluated to study the performance of optical systems in the presence of linear coma. Optimum balance among various coma terms based on Strehl intensity criterion is used and the applicability of this balance to imaging of extended objects is examined. Graphical results of intensity distribution in the paraxial receiving plane for the diffraction images of extended circular targets for various sizes and azimuths are presented. Results for the point spread function in presence of optimum balanced linear coma come out as a special case and are also included.


2021 ◽  
Author(s):  
Andra Naresh Kumar Reddy ◽  
Ramprasad Lachimala ◽  
Mahdieh Hashemi ◽  
Dasari Karuna Sagar

2009 ◽  
Vol 29 (1) ◽  
pp. 169-175
Author(s):  
唐玉科 Tang Yuke ◽  
何小海 He Xiaohai ◽  
陶青川 Tao Qingchuan

2003 ◽  
Vol 20 (2) ◽  
pp. 129-143 ◽  
Author(s):  
R. Cornils ◽  
S. Gillessen ◽  
I. Jung ◽  
W. Hofmann ◽  
M. Beilicke ◽  
...  

2018 ◽  
Author(s):  
Axel Ekman ◽  
Venera Weinhardt ◽  
Jian-Hua Chen ◽  
Gerry McDermott ◽  
Mark A. Le Gros ◽  
...  

AbstractIn this manuscript, we introduce a linear approximation of the forward model of soft x-ray tomography (SXT), such that the reconstruction is solvable by standard iterative schemes. This linear model takes into account the three-dimensional point spread function (PSF) of the optical system, which consequently enhances the reconstruction data. The feasibility of the model is demonstrated on both simulated and experimental data, based on theoretically estimated and experimentally measured PSFs.


2020 ◽  
Vol 74 (10) ◽  
pp. 1230-1237
Author(s):  
Xiang Ding ◽  
Yanzhe Fu ◽  
Jiyan Zhang ◽  
Yao Hu ◽  
Shihang Fu

The confocal Raman microscope (CRM) is a powerful tool in analytical science. Image quality is the most important performance indicator of CRM systems. The point spread function (PSF) is one of the most useful tools to evaluate the image quality of microscopic systems. A method based on a point-like object is proposed to measure the PSF of CRM, and the size effect of spherical objects is discussed. A series of phantoms are fabricated by embedding different sizes of polystyrene microspheres into polydimethylsiloxane matrix. The diameters of microspheres are from 0.2 µm to 5 µm. The phantoms are tested by measuring the PSF of a commercial CRM whose nominal lateral resolution is about 1 µm. Results of the PSF are obtained and the accuracy of resolution is used to evaluate the size effect of the microspheres. Experimental results are well consistent with theoretical analysis. The error of the PSF can be decreased by reducing the diameter of the microsphere but meanwhile the signal-to-noise ratio (S/N) will be lowered as well. The proper diameter of microspheres is proposed in consideration of the trade-off between the S/N and the measurement error of the PSF. Results indicate that the method provides a useful approach to measurement of the PSF and the resolution of the CRM.


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