Image reconstruction with sub-diffraction resolution in radio vision devices of millimeter and terahertz range using receiving arrays and image scanning

2009 ◽  
Author(s):  
Alexander N. Vystavkin ◽  
Andrey V. Pestryakov ◽  
Sergey E. Bankov ◽  
Vladimir M. Chebotarev
Keyword(s):  
Image Reconstruction ◽  
Terahertz Range ◽  
Image Scanning ◽  
Radio Vision

Image Production with Sub-Diffraction Resolution in Radio Vision Devices of the Terahertz Range Using Receiving Arrays and Image Scanning Procedure

2010 ◽  
Vol 5 (4) ◽  
pp. 103-107
Author(s):  
Sergey E. Bankov ◽  
Vladimir M. Chebotarev ◽  
Vladimir A. Cherepenin ◽  
Aleksandr V. Korjenevsky ◽  
Andrey V. Pestryakov ◽  
...  
Keyword(s):  
Computer Simulation ◽  
Image Reconstruction ◽  
Terahertz Frequency ◽  
Frequency Range ◽  
Terahertz Frequency Range ◽  
Noise Effect ◽  
Image Scanning ◽  
Scanning Procedure ◽  
Image Production ◽  
Radio Vision

The earlier proposed method of image reconstruction with sub-diffraction resolution in radio vision devices (RVD) of the shortwave millimeter and Terahertz frequency range is analyzed. A brief description of the method including the algorithm is given. A computer simulation of the method including the results is described. The limitation of the method due to the noise effect is discussed

scholarly journals EASY TWO-PHOTON IMAGE-SCANNING MICROSCOPY WITH SPAD ARRAY AND BLIND IMAGE RECONSTRUCTION

2019 ◽  
Author(s):  
S. V. Koho ◽  
E. Slenders ◽  
G. Tortarolo ◽  
M. Castello ◽  
M. Buttafava ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Single Photon ◽  
Imaging Modality ◽  
Scanning Microscopy ◽  
Array Detector ◽  
Reconstruction Method ◽  
Image Scanning ◽  
Two Photon ◽  
Blind Image

ABSTRACTTwo-photon excitation (2PE) microscopy is the imaging modality of choice, when one desires to work with thick biological samples, possibly in-vivo. However, the resolution in two-photon microscopy is poor, below confocal microscopy, and the lack of an optical pinhole becomes apparent in complex samples as reduced quality of optical sectioning. Here, we propose a straightforward implementation of 2PE image scanning microscopy (2PE-ISM) that, by leveraging our recently introduced ISM platform – based on a new single-photon avalanche diode array detector – coupled with a novel blind image reconstruction method, is shown to improve the optical resolution, as well as the overall image quality in various test samples. Most importantly, our 2PE-ISM implementation requires no calibration or other input from the user – it works like any old and familiar two-photon system, but simply produces higher resolution images (in real-time). Making the complexity disappear, in our view, is the biggest novelty here, and the key for making 2PE-ISM mainstream.

scholarly journals Research of means of multiframes representation for application in systems of radiovision of sub-terahertz range

2016 ◽  
Vol 12 (2) ◽  
pp. 17-20
Author(s):  
Nikolai N Stroev ◽  
Evgeni S Sulimski
Keyword(s):  
Visual Presentation ◽  
Terahertz Range ◽  
Radio Vision ◽  
Significant Factors

The paper considers methods of multiframes visual presentation of images in the systems of radio vision. Possibilities of methods are analyzed; the most significant factors of their choice at realization of systems of radio vision of sub-terahertz range are defined.

scholarly journals Two-photon image-scanning microscopy with SPAD array and blind image reconstruction

2020 ◽  
Vol 11 (6) ◽  
pp. 2905 ◽  
Author(s):  
Sami V. Koho ◽  
Eli Slenders ◽  
Giorgio Tortarolo ◽  
Marco Castello ◽  
Mauro Buttafava ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Scanning Microscopy ◽  
Image Scanning ◽  
Two Photon ◽  
Blind Image

Criteria and Methods for Reliable Three-Dimensional Image Reconstruction

1974 ◽  
Vol 32 ◽  
pp. 330-331
Author(s):  
R. A. Crowther
Keyword(s):  
Image Reconstruction ◽  
Finite Number ◽  
Density Distribution ◽  
Electron Micrographs ◽  
Mathematical Problem ◽  
Three Dimensional ◽  
Ideal Case ◽  
Dimensional Image ◽  
General Object ◽  
The Ideal

The reconstruction of a three-dimensional image of a specimen from a set of electron micrographs reduces, under certain assumptions about the imaging process in the microscope, to the mathematical problem of reconstructing a density distribution from a set of its plane projections.In the absence of noise we can formulate a purely geometrical criterion, which, for a general object, fixes the resolution attainable from a given finite number of views in terms of the size of the object. For simplicity we take the ideal case of projections collected by a series of m equally spaced tilts about a single axis.

Three dimensional deblurring of transmitted-light brightfield micrographs

1993 ◽  
Vol 51 ◽  
pp. 564-565
Author(s):  
Santosh Bhattacharyya
Keyword(s):  
Image Reconstruction ◽  
Three Dimensional ◽  
Transmitted Light ◽  
Reconstruction Algorithms ◽  
3D Image Reconstruction ◽  
Structural Details ◽  
Spread Function ◽  
Early Testing ◽  
Linearized Model ◽  
Image Reconstruction Algorithms

Three dimensional microscopic structures play an important role in the understanding of various biological and physiological phenomena. Structural details of neurons, such as the density, caliber and volumes of dendrites, are important in understanding physiological and pathological functioning of nervous systems. Even so, many of the widely used stains in biology and neurophysiology are absorbing stains, such as horseradish peroxidase (HRP), and yet most of the iterative, constrained 3D optical image reconstruction research has concentrated on fluorescence microscopy. It is clear that iterative, constrained 3D image reconstruction methodologies are needed for transmitted light brightfield (TLB) imaging as well. One of the difficulties in doing so, in the past, has been in determining the point spread function of the system.We have been developing several variations of iterative, constrained image reconstruction algorithms for TLB imaging. Some of our early testing with one of them was reported previously. These algorithms are based on a linearized model of TLB imaging.

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