OPTIPATH

Diagnosing diseases like cancer, infections and autoimmune conditions often depends on examining tissue samples under a microscope. This process can be slow owing to the many time-consuming steps involved in preparing tissue samples for observation, i.e. to enable visible contrast between cancerous and non-cancerous cells. Furthermore, the process can be subjective, with doctors sometimes reaching different conclusions, leading to more tests or, in the worst case, misdiagnosis. In this context, the EIC-funded OPTIPATH project offers a solution with a groundbreaking approach to tissue analysis. Using advanced optical chip-based technology with machine learning, it aims to provide fast, accurate 3D imaging of unprepared tissue samples. Invisible properties of light will be harnessed to give access to information currently unavailable to practitioners.