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Nanoprecision algorithm for surface plasmon resonance determination from images with low contrast for improved sensor resolution

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Nanoprecision algorithm for surface plasmon resonance determination from images with low contrast for improved sensor resolution. / Karabchevsky, Alina; Karabchevsky, Serge; Abdulhalim, Ibrahim.
In: Journal of Nanophotonics, Vol. 5, No. 1, 051813, 01.01.2011.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Karabchevsky A, Karabchevsky S, Abdulhalim I. Nanoprecision algorithm for surface plasmon resonance determination from images with low contrast for improved sensor resolution. Journal of Nanophotonics. 2011 Jan 1;5(1):051813. doi: 10.1117/1.3598138

Author

Karabchevsky, Alina ; Karabchevsky, Serge ; Abdulhalim, Ibrahim. / Nanoprecision algorithm for surface plasmon resonance determination from images with low contrast for improved sensor resolution. In: Journal of Nanophotonics. 2011 ; Vol. 5, No. 1.

Bibtex

@article{acce95c33a264655a7322fb9aae7f49c,
title = "Nanoprecision algorithm for surface plasmon resonance determination from images with low contrast for improved sensor resolution",
abstract = "A forward-projection algorithm based on Radon transform for two-dimensional surface plasmon imaging was devised to achieve nanoscale precision in determining the surface plasmon signal. A diverging laser beam at the chosen frequency was used to overcome the angular scanning in the well-known Kretschmann configuration. Multichannel sensing with improved resolution was realized. The technique was also used to find the lateral resolution of the sensor using a patterned layer of 40-nm thick SiO2 layer on top of the metallic surface. As a surface plasmon resonance signal detector, the use of the proposed Radon transform algorithm shows nanoprecision accuracy in cases of single and multichannel sensing. The method also provides the filtered output of the signal without any extra modification and therefore, it is nonsensitive to noise.",
author = "Alina Karabchevsky and Serge Karabchevsky and Ibrahim Abdulhalim",
year = "2011",
month = jan,
day = "1",
doi = "10.1117/1.3598138",
language = "English",
volume = "5",
journal = "Journal of Nanophotonics",
number = "1",

}

RIS

TY - JOUR

T1 - Nanoprecision algorithm for surface plasmon resonance determination from images with low contrast for improved sensor resolution

AU - Karabchevsky, Alina

AU - Karabchevsky, Serge

AU - Abdulhalim, Ibrahim

PY - 2011/1/1

Y1 - 2011/1/1

N2 - A forward-projection algorithm based on Radon transform for two-dimensional surface plasmon imaging was devised to achieve nanoscale precision in determining the surface plasmon signal. A diverging laser beam at the chosen frequency was used to overcome the angular scanning in the well-known Kretschmann configuration. Multichannel sensing with improved resolution was realized. The technique was also used to find the lateral resolution of the sensor using a patterned layer of 40-nm thick SiO2 layer on top of the metallic surface. As a surface plasmon resonance signal detector, the use of the proposed Radon transform algorithm shows nanoprecision accuracy in cases of single and multichannel sensing. The method also provides the filtered output of the signal without any extra modification and therefore, it is nonsensitive to noise.

AB - A forward-projection algorithm based on Radon transform for two-dimensional surface plasmon imaging was devised to achieve nanoscale precision in determining the surface plasmon signal. A diverging laser beam at the chosen frequency was used to overcome the angular scanning in the well-known Kretschmann configuration. Multichannel sensing with improved resolution was realized. The technique was also used to find the lateral resolution of the sensor using a patterned layer of 40-nm thick SiO2 layer on top of the metallic surface. As a surface plasmon resonance signal detector, the use of the proposed Radon transform algorithm shows nanoprecision accuracy in cases of single and multichannel sensing. The method also provides the filtered output of the signal without any extra modification and therefore, it is nonsensitive to noise.

U2 - 10.1117/1.3598138

DO - 10.1117/1.3598138

M3 - Journal article

VL - 5

JO - Journal of Nanophotonics

JF - Journal of Nanophotonics

IS - 1

M1 - 051813

ER -