Dry eye disease is the most prevalent eye disease in the world. Many lifestyle changes, including increased phone and laptop screen time, contribute to dry eye disease. Existing technology to detect dry eyes can be inaccurate or extremely expensive, and often, multiple diagnosis techniques must be used.
By creating an inexpensive, multifunctional device, we will be able to better diagnose a disease that 3,40,00,000 people suffer from. The is no gold standard diagnosis for this screening. Other options include invasive tear film collection and analyzing it, which is time taking and needs expert to carry out the test.
We have developed a smart imaging system that goes onto a traditional slit lamp (primary screening device, which every eye doctor has) and can image the interference pattern on the lipid layer on the eye. As lipid is oily substance and tears consist of water Interference pattern is observed when a specific wavelength of light is projected onto the eye at specific direction. The camera mounted onto the device images the interference pattern and calculates tear film breakup time which can help us estimate the severity of dry eyes.
Sandeep Vempati - Project Lead
Serena Le - Mechanical/ Image Processing/ illumination
Aditya Sripada - Electronics/Image Processing
Rohith Kumar Pulipaka - Illumination
Dr. Nagaraju Konda - Clinical Investigator