AI-based solution for robust detection with optical microresonators

AI-based solution for sensing of dynamical processes with optical microresonators to enable automatic and self-adjusting predictions of the probed parameters is proposed. The sensing chip is characterized by dense packaging of more than one thousand individual spherical microcavities with strong spectral variations grouped on up to 10 sensing areas of different functionalities. Spectral diversity of microresonators supplemented with different deep learning models have been utilized to ensure detection of small entities of biochemical nature in the complex aqueous environment.