Detection of frequently occurring eye diseases like diabetic retinopathy, age related macular degeneration and glaucoma, occurs too late. This results in more blind and visually impaired people.

Furthermore, the global increase in Diabetes type II requires an acceleration of early stage detection diabetes related eye diseases. There is currently a large gap in the availability of easy to use and affordable devices for the early detection of these diseases.

RetinaScope developed a handheld microscope fundus camera for the early detection of eye diseases. Artificial intelligence based software (algorithms) is available for timely and accurate interpretation of the data. The camera can be applied on a larger scale with lower costs and a higher usability than other diagnostic cameras. Furthermore, the use of the camera is friendlier for patients. The project has been developed in close collaboration with TNO. Licensing agreements have been established and the creation of new IP in the follow up programs with TNO is in progress.