Key points from article :
Researchers created a robotic eye scanner that can detect signs of several eye diseases, including glaucoma and diabetic retinopathy.
The system includes several 3D cameras to identify where the patient is located.
A robotic arm then rapidly scans the patient’s eyes, taking less than a minute to scan both, without making any contact.
Produces images that are as clear as those obtained by currently used technologies.
Highly trained technicians use optical coherence tomography (OCT), which requires a large benchtop system.
“These kinds of advances help make it easier for wider communities to access it,” - Ryan McNabb, co-researcher of the study.
“Robotic arm gives the flexibility of handheld OCT scanners, but we don’t need to worry about any operator tremor,” - Mark Draelos, co-researcher.
“We think it will pair incredibly well with recent advances in machine learning for OCT image interpretation,” - McNabb.
Research by Duke University published in Nature Biomedical Engineering.
