14 December 2017 Quantification of whispering gallery mode spectrum variability in application to sensing nanobiophotonics
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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.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Anton Saetchnikov, Anton Saetchnikov, Victor Skakun, Victor Skakun, Vladimir Saetchnikov, Vladimir Saetchnikov, Elina Tcherniavskaia, Elina Tcherniavskaia, Andreas Ostendorf, Andreas Ostendorf, } "Quantification of whispering gallery mode spectrum variability in application to sensing nanobiophotonics," Journal of Nanophotonics 11(4), 046019 (14 December 2017). https://doi.org/10.1117/1.JNP.11.046019 . Submission: Received: 7 October 2017; Accepted: 29 November 2017
Received: 7 October 2017; Accepted: 29 November 2017; Published: 14 December 2017
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