Determination of the wave-front aberration function from measured values of the point-spread function: a two-dimensional phase retrieval problem

1992 ◽  
Vol 9 (10) ◽  
pp. 1715 ◽  
Author(s):  
Richard Barakat ◽  
Barbara H. Sandler
Keyword(s):  
Wave Front ◽  
Point Spread Function ◽  
Phase Retrieval ◽  
Two Dimensional ◽  
Point Spread ◽  
Spread Function ◽  
Retrieval Problem

Determination of the Point Spread Function of a Computer-Generated Lens Formed by a Phase Light Modulator

2020 ◽  
Vol 128 (7) ◽  
pp. 1036-1040 ◽  
Author(s):  
N. G. Stsepuro ◽  
G. K. Krasin ◽  
M. S. Kovalev ◽  
V. N. Pestereva
Keyword(s):  
Point Spread Function ◽  
Light Modulator ◽  
Point Spread ◽  
Spread Function

Wave-front correction from point spread function data

1993 ◽  
Vol 32 (26) ◽  
pp. 4979
Author(s):  
Naoshi Baba ◽  
Tsutomu Ogura ◽  
Noriaki Miura
Keyword(s):  
Wave Front ◽  
Point Spread Function ◽  
Point Spread ◽  
Function Data ◽  
Spread Function

scholarly journals Microscope 3D Point Spread Function Evaluation Method on a Confirmed Object Plane Perpendicular to the Optical Axis

2020 ◽  
Vol 10 (7) ◽  
pp. 2430
Author(s):  
Shuai Mao ◽  
Zhenzhou Wang ◽  
Jinfeng Pan
Keyword(s):  
Point Spread Function ◽  
Evaluation Method ◽  
Optical Axis ◽  
Incident Beam ◽  
Function Evaluation ◽  
Object Plane ◽  
Point Spread ◽  
Spread Function ◽  
3D Point Spread Function

A point spread function evaluation method for a microscope on the object plane that is perpendicular to the optical axis is proposed. The measurement of the incident beam direction from the dual position-sensitive-detector (PSD)-based units, the determination of the object plane perpendicularity and the paraxial region, and evaluation methods for the point spread function (PSF) are presented and integrated into the proposed method. The experimental verification demonstrates that the proposed method can achieve a 3D PSF on the perpendicular object plane, as well as magnification, paraxial region evaluation, and confirmation for any microscopic system.

scholarly journals Determination of the point spread function of layered metamaterials assisted with the blind deconvolution algorithm

2014 ◽  
Vol 47 (1) ◽  
pp. 17-26 ◽  
Author(s):  
David Pastor ◽  
Tomasz Stefaniuk ◽  
Piotr Wróbel ◽  
Carlos J. Zapata-Rodríguez ◽  
Rafał Kotyński
Keyword(s):  
Point Spread Function ◽  
Blind Deconvolution ◽  
Point Spread ◽  
Deconvolution Algorithm ◽  
Spread Function

Determination of point-spread function of paper substrate based on light-scattering simulation

2014 ◽  
Vol 53 (33) ◽  
pp. 7854 ◽  
Author(s):  
D. Modrić ◽  
K. Petric Maretić ◽  
Aleš Hladnik
Keyword(s):  
Light Scattering ◽  
Point Spread Function ◽  
Paper Substrate ◽  
Point Spread ◽  
Spread Function

Deconvolution of the two-dimensional point-spread function of area detectors using the maximum-entropy algorithm

1999 ◽  
Vol 32 (4) ◽  
pp. 683-691 ◽  
Author(s):  
H. Graafsma ◽  
R. Y. de Vries
Keyword(s):  
Maximum Entropy ◽  
Point Spread Function ◽  
Contrast Ratio ◽  
Entropy Method ◽  
Protein Crystal ◽  
Two Dimensional ◽  
Two Phase ◽  
X Ray ◽  
Point Spread ◽  
Spread Function

The maximum-entropy method (MEM) has been applied for the deconvolution of the point-spread function (PSF) of two-dimensional X-ray detectors. The method is robust, model and image independent, and only depends on the correct description of the two-dimensional point-spread function and gain factor of the detector. A significant enhancement of both the spatial resolution and the contrast ratio has been obtained for two phase-contrast images recorded with an ultra-high-resolution X-ray imaging detector. The method has also been applied to a Laue diffraction image of a protein crystal, showing an important improvement in both the peak separation of closely spaced diffraction peaks and the signal-to-noise ratio of medium and weak peaks. The principle of the method is explained and examples of its application are presented.

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