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A deep-learning powered mechanism for detection of complex biochemical compounds with the WGM sensor which comprises various amount of sensing channels and different selectivity with hundreds of individual microcavities in each has been proposed. We demonstrate the possibility for accurate prediction of the biomarker’s concentrations in the complex aqueous solutions by training on non-linear highly specific time series signals of the intensities radiated by the microcavities. The impact of the deep-learning engine architecture and type of the sensor sample on the sensing performance has been studied.
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Anton Saetchnikov, Andreas Ostendorf, "Intelligent detection of complex biochemical compounds with multiplexed microresonator sensor," Proc. SPIE 12391, Label-free Biomedical Imaging and Sensing (LBIS) 2023, 123910R (16 March 2023); https://doi.org/10.1117/12.2649694