AI-Powered Segmentation of Neuronal Activity in Advanced Microscopy

This research explores the application of a Bayesian approach for automated segmentation of neuronal activity from complex, high-dimensional fluorescence imaging data. The use of Bayesian methods is promising for handling the inherent uncertainties and noise in such biological datasets, potentially leading to more accurate and efficient analysis.

• •Applies a Bayesian approach to segment neuronal activity.
• •Focuses on fast four-dimensional spatio-temporal fluorescence imaging.
• •Potentially improves the analysis of complex biological data.