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Journal of Nanophotonics

Quantification of whispering gallery mode spectrum variability in application to sensing nanobiophotonics
Author(s): Anton Saetchnikov; Victor Skakun; Vladimir Saetchnikov; Elina Tcherniavskaia; Andreas Ostendorf
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Paper Abstract

An approach for the automated whispering gallery mode (WGM) signal decomposition and its parameter estimation is discussed. The algorithm is based on the peak picking and can be applied for the preprocessing of the raw signal acquired from the multiplied WGM-based biosensing chips. Quantitative estimations representing physically meaningful parameters of the external disturbing factors on the WGM spectral shape are the output values. Derived parameters can be directly applied to the further deep qualitative and quantitative interpretations of the sensed disturbing factors. The algorithm is tested on both simulated and experimental data taken from the bovine serum albumin biosensing task. The proposed solution is expected to be a useful contribution to the preprocessing phase of the complete data analysis engine and is expected to push the WGM technology toward the real-live sensing nanobiophotonics.

Paper Details

Date Published: 14 December 2017
PDF: 14 pages
J. Nanophoton. 11(4) 046019 doi: 10.1117/1.JNP.11.046019
Published in: Journal of Nanophotonics Volume 11, Issue 4
Show Author Affiliations
Anton Saetchnikov, Ruhr-Univ. Bochum (Germany)
Belarusian State Univ. (Belarus)
Victor Skakun, Belarusian State Univ. (Belarus)
Vladimir Saetchnikov, Belarusian State Univ. (Belarus)
Elina Tcherniavskaia, Belarusian State Univ. (Belarus)
Andreas Ostendorf, Ruhr-Univ. Bochum (Germany)


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