Self-learning-based detection via multiple microresonator imaging

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.