AI-Powered Microscopy Project Secures Major European Funding
The BRIGHT project, led by Lorenzo Albertazzi at Eindhoven University of Technology (TU/e), has been awarded a €3.7 million European Innovation Council Pathfinder grant. The funding backs a plan to integrate AI-driven super-resolution microscopy into routine clinical diagnostics, moving this advanced imaging from specialist labs toward everyday hospital workflows.
Automated Diagnostics: Bridging Research and Clinic
BRIGHT addresses a key bottleneck in advanced microscopy: complexity of operation and analysis. The consortium is developing an autonomous system that combines deep learning with single-molecule sensitivity imaging to perform high-resolution analyses on patient biopsies. By automating image acquisition and interpretation, the platform can extract biomarker patterns that correlate with treatment response, offering a clear proof of concept in B-cell lymphoma.
A Collaborative European Vision
Partners across Europe contribute expertise in microscopy, machine learning, laboratory automation, and clinical pathology. This collaborative structure aims to translate laboratory methods into validated clinical workflows, with standardized procedures and software that hospitals can adopt without specialized microscopy teams.
Future Outlook: Impact on Personalized Healthcare
While the initial focus is hematological cancer, the approach is broadly applicable. Making super-resolution imaging accessible promises more precise biomarker readouts for solid tumours and immune profiling. For clinicians, the result will be richer diagnostic data that supports tailored treatment choices. For patients, that means diagnostics designed to match therapies more closely to the biology of their disease.
BRIGHT exemplifies how AI and automation can democratize next-generation imaging, shifting super-resolution microscopy from bench-top innovation into tools that inform clinical decisions and advance personalized medicine.
