Automated Monitoring for Optical Coherence Tomography-based Biosensing Using Deep Learning

Microparticle biosensors embedded in 3D tissue-mimics were spatiotemporally monitored in a completely automated pipeline using deep learning. Localization and estimation of microparticle response from OCT imaging was achieved using 3D convolutional neural networks. The automated pipeline was demonstrated using glucose-responsive microparticles as a proof-of-concept. Keywords: Optical coherence tomography, convolutional neural networks, biosensors, microparticles