Brain activity relies on complex interactions among large populations of neurons located in different brain regions. Understanding the relationships between these specific areas and disentangling the contributions of individual neurons to circuit function is an essential step to understand brain functioning. To elucidate the connection between brain activation and behaviour outcome, it is necessary to establish specific experimental strategies that allow to record and externally control neuronal activity during behaviour. Currently, there is an experimental trade-off between imaging speed, field of view and sample dimensions that limits current recording technology in imaging very large neuronal populations with concurrently high spatial and temporal resolution. Consequently, interactions between neurons in different brain areas are easily missed, whilst functionally related ensembles of neurons can be undetectable, blinded or falsely interpreted. DAPTOMIC aims to demonstrate the commercial viability of a new generation of autonomous (i.e. self-run, similar to a Tesla car) microscope add-on suitable for brain imaging. The main objective of DAPTOMIC is to turn the modules developed within the ERC Advanced Grant BrainBIT into a commercial product (minimum viable product), i.e. a new add-on to current generation microscopes that decides the imaging strategy – which portion of the sample to image and which portion of the sample to interact with – through AI, shortening experiment times by several orders of magnitude.
Brain activity is the result of complex interactions of large populations of neurons located in different regions. Understanding the connection between brain activation and behaviour outcome requires specific experimental strategies to record and externally control neuronal activity. The EU-funded DAPTOMIC project aims to validate the commercial viability of innovative autonomous microscope additions designed for brain imaging. The main objective is to commercialise the modules developed by the EU-funded BrainBIT project. The ensuing AI-based add-on devices will enable the current-generation microscopes to implement the imaging strategy by targeting the sample to image and the portion of the sample to use for interactive analysis.