
Motivation
Neurodegenerative diseases represent one of the greatest global health challenges, with over a billion people affected worldwide. Early symptoms are often subtle and hard to detect, making early intervention difficult. Many hereditary neurodegenerative diseases (axonopathies) are directly linked to mutations in ER-shaping proteins. However, due to the nanoscale complexity and dynamic nature of the ER, these changes remain poorly understood. AI-SupER addresses this urgent need by developing novel tools to visualize and quantify ER structure in health and disease at nanometer resolution.
Team, Goals and Approach
Our collaborative Research-Group AI-supER funded by the Thüringer Aufbaubank (TABExternal link) has officially started its work in 2025. Together with the groups of Christian Hübner (Hübner LabExternal link) and Michael Habeck (AG HabeckExternal link) from the University Hospital Jena we will develop advanced super-resolution microscopy and AI-based analysis tools to investigate the change of nanostructure of the enoplasmatic reticulum in neuro-degenerative deseases. In the Franke Lab, Adrian is leading the development of novel Hardware- and Software tools for high-speed super-resolution imaging of the ER and other organelles.