An integrated setup for in-vitro optogenetic experiments using AI to localize stimulation

In this proceeding we discuss the recent work involving our developed optogenetic tool, where we use digital light processor (DLP) as a light-stimulation source of neuronal culture and microelectrode array (MEA) system as the sampling unit. In this work we aim at developing an integrated experimental platform which should assist in the study of the structure and the function of neuronal networks. In particular, the setup proposed in this work should serve as an optogenetic tool for in-vitro experiments, controlled by a feedback from electrophysiological signals from the network to address specific neuronal circuits. In this manuscript some of the recent results from experiments involving optical stimulation and electrophysiological recording of neuronal cultures are shown. Additionally, we have developed an AI-based model which is trained according the recorded electrophysiological signals and reproduces the functionality and the macro-structure of the culture under test. The description and some preliminary results of this model are also discussed in this proceeding.

Automated summary

In this study, we present our optogenetic tool using a digital light processor (DLP) for light stimulation of neuronal culture, combined with a microelectrode array (MEA) system for sampling. The aim of this work is to develop an integrated experimental platform for studying the structure and function of neuronal networks. The proposed setup serves as an optogenetic tool for in-vitro experiments, allowing specific neuronal circuits to be addressed based on feedback from electrophysiological signals. The manuscript presents recent results from experiments involving optical stimulation and electrophysiological recording, as well as an AI-based model for reproducing the functionality and macro-structure of the cultured neurons.