Thanks to the work of NEI scientists and grantees, we’re constantly learning new information about the causes and treatment of vision disorders. Get the latest updates about their work — along with other news about NEI.
The IQA is a software system intended for use in importing, displaying, analyzing and managing images acquired with digital fundus cameras. The patented software detects the most common causes of retinal imaging artifacts.
Researchers at Georgia Tech have developed a potential new treatment for the eye disease glaucoma that could replace daily eyedrops and surgery with a twice-a-year injection to control the buildup of pressure in the eye.
The brain’s visual centers must be adept at filtering out noise from retinal cells to get to the true signal, and those filters have to constantly adapt. Prosthetic retinas are going to need this same filtering to succeed, NEI-funded research shows.
University of Michigan researchers have dramatically reduced the power requirements of neural interfaces while improving their accuracy—a discovery that could lead to long-lasting brain implants.
A new study found that special patented glasses engineered with technically advanced spectral notch filters enhance color vision for those with the most common types of red-green color vision deficiency (“anomalous trichromacy”).
Researchers at Columbia University Irving Medical Center have developed eye drops that could prevent vision loss after retinal vein occlusion, a major cause of blindness for millions of adults worldwide.
Biomedical engineers at Duke University have devised a new imaging device capable of measuring the various layers of the retina at the back of the eye, which could be used to detect Alzheimer's disease.
Neuroscientists at the University of South Florida have become the first to definitively prove pressure in the eye is sufficient to cause and explain glaucoma.
New research by bioengineer David Schmidtke is helping understand how corneal repair cells called keratocytes sometimes result in scarring and blindness.
An artificial intelligence algorithm that can detect a potentially devastating cause of childhood blindness better than most human experts has been granted breakthrough status by the FDA.