Self-learning-based detection via multiple microresonator imaging

Anton Saetchnikov; Elina Tcherniavskaia; Vladimir Saetchnikov; Andreas Ostendorf

doi:10.1117/12.2592365

20 June 2021 Self-learning-based detection via multiple microresonator imaging

Anton Saetchnikov, Elina Tcherniavskaia, Vladimir Saetchnikov, Andreas Ostendorf

Proceedings Volume 11782, Optical Measurement Systems for Industrial Inspection XII; 117822E (2021) https://doi.org/10.1117/12.2592365
Event: SPIE Optical Metrology, 2021, Online Only

Conference Poster

Abstract

This paper discusses an intelligent sensing solution based on the phenomenon of the whispering gallery modes in the optical microcavities realized within an affordable instrument configuration featuring simultaneous excitation of multiple microresonators by a single frequency laser along with parallel collection of their signal. Supplemented with a machine learning engine for complex signal interpretation the sensor demonstrates the accuracy of 10^-6 for refractive index prediction and more than 98% for protein concentration classification.

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Citation Download Citation

Anton Saetchnikov, Elina Tcherniavskaia, Vladimir Saetchnikov, and Andreas Ostendorf "Self-learning-based detection via multiple microresonator imaging", Proc. SPIE 11782, Optical Measurement Systems for Industrial Inspection XII, 117822E (20 June 2021); https://doi.org/10.1117/12.2592365

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