Bridging hidden Markov modelling and real-time single molecule imaging

Biomolecules interact and function in a complex ‘dance’. Single molecule microscopy imaging enables the direct observation of individual biomolecules in real-time. This provides unprecedented insights into their behavior and interactions, and brings us closer to a dynamic understanding of biological processes – the molecular dance. However, strong data analysis approaches are required to harvest the molecular information, and the complexity of biological processes and single molecule data calls for new data-driven mathematical models and their experimental validation. Mathematicians and biophysical chemists aim together in this synergy project to bring new analysis tools based on advances in hidden Markov modelling to decode real-time single molecule imaging data.