Project title: From noise to knowledge: deep learning for weak signal analysis in ultra-sensitive microscopy and beyond
PI: Philipp Kukura
In biochemical and pharmaceutical research, understanding interactions between proteins is of paramount importance. Mass Photometry (MP) has emerged as a promising microscopy technique for studying these interactions at the single-molecule level, but faces some limitations. The project aims to expand MP's applicability, building on existing deep learning approaches, including leading methods for super-resolution microscopy and specialised AI tools.
