scholarly journals Ceramic Material based Optical Antenna for Multiband Photonics Applications

2021 ◽  
Author(s):  
Anand Sharma ◽  
Yogendra Kumar Prajapati ◽  
Devendra Kumar Tripathi
Keyword(s):  
Ceramic Material ◽  
Dielectric Resonator ◽  
Wireless Lan ◽  
Imaging System ◽  
Optical Antenna ◽  
Hybrid Mode ◽  
Radiation Characteristics ◽  
Hyper Spectral ◽  
Hyper Spectral Imaging ◽  
Silicon Based

Abstract In this article, design and development of a multiband ceramic material-based Optical antenna is discussed. Square shaped aperture is utilized to excited silicon based dielectric resonator. This type of excitation system provides the capability to create triple hybrid mode (HEM11δ, HEM12δ and HEM11δ+2) inside the cylindrical shaped ceramic material. Due to this feature, the proposed aerial is operating over diverse frequency bands i.e. 117.5-140 THz, 158-165.5 THz and 175.2-190.5 THz respectively. Stable radiation characteristics as well as good value of gain (about 4.0 dBi) makes the proposed Nano-radiator applicable for hyper spectral imaging system (125 THz) and VLC for wireless LAN (160/180THz).

Design of a Hyper-Spectral Imaging System for Gross Pathology of Pigmented Skin Lesions

2021 ◽  
Author(s):  
Eleni Aloupogianni ◽  
Masahiro Ishikawa ◽  
Takaya Ichimura ◽  
Atsushi Sasaki ◽  
Naoki Kobayashi ◽  
...  
Keyword(s):  
Imaging System ◽  
Spectral Imaging ◽  
Skin Lesions ◽  
Gross Pathology ◽  
Hyper Spectral ◽  
Hyper Spectral Imaging ◽  
Pigmented Skin Lesions

scholarly journals Hyper-spectral imaging system with harmonic diffraction element in medium and far infrared

2010 ◽  
Vol 59 (10) ◽  
pp. 6980
Author(s):  
Liu Ying ◽  
Sun Qiang ◽  
Lu Zhen-Wu ◽  
Qu Feng ◽  
Wu Hong-Sheng ◽  
...  
Keyword(s):  
Imaging System ◽  
Spectral Imaging ◽  
Far Infrared ◽  
Hyper Spectral ◽  
Hyper Spectral Imaging

An advanced scanning method for space-borne hyper-spectral imaging system

2011 ◽  
Author(s):  
Yue-ming Wang ◽  
Jun-Wei Lang ◽  
Jian-Yu Wang ◽  
Zi-Qing Jiang
Keyword(s):  
Imaging System ◽  
Spectral Imaging ◽  
Scanning Method ◽  
Hyper Spectral ◽  
Hyper Spectral Imaging

Parallelized label-free detection of protein interactions using a hyper-spectral imaging system

2015 ◽  
Vol 7 (12) ◽  
pp. 5157-5161 ◽  
Author(s):  
H. Yoshikawa ◽  
M. Murahashi ◽  
M. Saito ◽  
S. Jiang ◽  
M. Iga ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Imaging System ◽  
Spectral Imaging ◽  
Label Free ◽  
System P ◽  
Hyper Spectral ◽  
Label Free Detection ◽  
Hyper Spectral Imaging

Parallelized detection of protein interactions using a multi-array chip and a hyper-spectral imaging system.

scholarly journals Calibration of a Hyper-Spectral Imaging System Using a Low-Cost Reference

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3738
Author(s):  
Muhammad Saad Shaikh ◽  
Keyvan Jaferzadeh ◽  
Benny Thörnberg ◽  
Johan Casselgren
Keyword(s):  
Spectral Distribution ◽  
Imaging System ◽  
Low Cost ◽  
Spectral Imaging ◽  
Principal Component ◽  
Calibration Procedure ◽  
Material Surface ◽  
Hyper Spectral ◽  
Data Clusters ◽  
Hyper Spectral Imaging

In this paper, we present a hyper-spectral imaging system and practical calibration procedure using a low-cost calibration reference made of polytetrafluoroethylene. The imaging system includes a hyperspectral camera and an active source of illumination with a variable spectral distribution of intensity. The calibration reference is used to measure the relative reflectance of any material surface independent of the spectral distribution of light and camera sensitivity. Winter road conditions are taken as a test application, and several spectral images of snow, icy asphalt, dry asphalt, and wet asphalt were made at different exposure times using different illumination spectra. Graphs showing measured relative reflectance for different road conditions support the conclusion that measurements are independent of illumination. Principal component analysis of the acquired spectral data for road conditions shows well separated data clusters, demonstrating the system’s suitability for material classification.

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