Researchers from UW Medicine have found that artificial intelligence-based screening algorithms to diagnose diabetic retinopathy do not perform as well as they claim.

Scientists at Joslin Diabetes Center now have shown that routine eye imaging can identify changes in the retina that may be associated with cognitive disorders in older people with type 1 diabetes.

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.

An international team has published a new study that provides one of the most detailed and complete characterizations of the diversity of neural types in the brain so far.

A new lens on visual neurons is laying the groundwork for a more complete “family tree” of the mammalian brain. Study reveals a new categorization of mouse neurons that relies on multiple types of data drawn from each individual cell.

Researchers at the UC Davis Department of Biomedical Engineering have come up a with a new, rapid method for characterizing and calibrating spectrometers, based on how they respond to noise.

NEI-funded study shows coupling of structure and function at a sub-cellular level in visual areas of the mouse brain

Scientists at the University of Washington School of Medicine detect minute changes in response to light in photoreceptors in a living eye.

Researchers have developed a neural network capable of recognizing retinal tissues during the process of their differentiation in a dish.

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.