This project aims to develop a next-generation fluorescence microscopy platform that surpasses classical resolution limits by leveraging quantum optics and AI. Unlike traditional super-resolution methods (e.g., STORM, PALM), it uses the quantum properties of fluorescence—specifically photon antibunching and second-order correlation functions (g²(τ))—to extract nanoscale information without requiring specialized fluorophores.
Key innovations include:
- SPAD arrays for wide-field, single-photon detection with sub-nanosecond timing.
- Quantum photon correlation analysis to enhance spatial resolution.
- AI-driven image reconstruction for multidimensional imaging (spatial, temporal, statistical).
- Biologically compatible imaging using standard fluorescent labels.
The student will build and test a custom FLIM microscope, starting with model nanostructures and progressing to live-cell imaging. This work supports UK priorities in quantum technologies and AI, and offers interdisciplinary training in quantum optics, single-photon detection, and computational imaging.