Materials, Photonic Devices, and Sensors

Optimizing detection methods for terahertz bioimaging applications

[+] Author Affiliations
Christos Bolakis

National Technical University of Athens, School of Electrical and Computer Engineering, 9 Heroon Polytechniou, Zografou 15780, Greece

Irene S. Karanasiou, Nikolaos Uzunoglu

National Technical University of Athens, Institute of Communication and Computer Systems, 9 Heroon Polytechniou, Zografou 15780, Greece

Dragoslav Grbovic, Gamani Karunasiri

Naval Postgraduate School, Department of Physics, 1 University Circle, Monterey, California 93943, United States

Opt. Eng. 54(6), 067107 (Jun 22, 2015). doi:10.1117/1.OE.54.6.067107
History: Received March 3, 2015; Accepted May 27, 2015
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Abstract.  We propose a new approach for efficient detection of terahertz (THz) radiation in biomedical imaging applications. A double-layered absorber consisting of a 32-nm-thick aluminum (Al) metallic layer, located on a glass medium (SiO2) of 1 mm thickness, was fabricated and used to design a fine-tuned absorber through a theoretical and finite element modeling process. The results indicate that the proposed low-cost, double-layered absorber can be tuned based on the metal layer sheet resistance and the thickness of various glass media. This can be done in a way that takes advantage of the diversity of the absorption of the metal films in the desired THz domain (6 to 10 THz). It was found that the composite absorber could absorb up to 86% (a percentage exceeding the 50%, previously shown to be the highest achievable when using single thin metal layer) and reflect <1% of the incident THz power. This approach will enable monitoring of the transmission coefficient (THz transmission fingerprint) of the biosample with high accuracy, while also making the proposed double-layered absorber a good candidate for a microbolometer pixel’s active element.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Christos Bolakis ; Irene S. Karanasiou ; Dragoslav Grbovic ; Gamani Karunasiri and Nikolaos Uzunoglu
"Optimizing detection methods for terahertz bioimaging applications", Opt. Eng. 54(6), 067107 (Jun 22, 2015). ; http://dx.doi.org/10.1117/1.OE.54.6.067107


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