team photo

Figure 1
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Figure 2
project photo

Team 1

Team Members

Faculty Advisor

Max Barton
Joseph Castellano
Ling Chi

Dr. Guoan Zheng


UConn Biomedical Engineering Department

sponsored by
Sponsor Image Not Available

Device and Mobile App for Retinal Imaging Diagnosis

The purpose of this design project is to build a smartphone-based non-mydriatic device that can capture and diagnose a fundus image for diabetic retinopathy and other ocular diseases. The device will consist of a smartphone and an adapter that will include a 45 degree mirror that will be used along with a solid core fiber optic cable to make the smartphone camera and the light coaxial. The image is captured through a 20D lens that magnifies the retina. An Android smartphone application provides a simple UI that allows for image capturing and diagnosis using a trained deep learning image classification model. This product is designed with off-the-shelf and 3D printed PLA components to allow for easy access to income countries which account for 90% of global visual impairment cases.