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NEI Research News

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.

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31 items
Komiyama and Hattori in computer lab

Neurobiologists Reveal How Value Decisions are Coded into Our Brains

Researchers UC San Diego discover that persistency allows value signals to be most effectively represented, or “coded,” across different areas of the brain.
OCT image of a retina

New biomarkers may detect early eye changes that can lead to diabetes-related blindness

New biomarkers found in the eyes could unlock the key to helping manage diabetic retinopathy, and perhaps even diabetes, according to new research conducted at the Indiana University School of Optometry.
Tiarnan Keenan

Patients use device to monitor AMD at home

Tiarnan Keenan, NEI Division of Epidemiology and Clinical Applications, and colleagues found that people with age-related macular degeneration (AMD) can successfully use the Notal Home OCT device to monitor their disease.
Slice of OCT image hovers over 3D segmentation of retinal cells

AI Spots Individual Neurons in the Eye Better than Human Experts

A new combination of optical coherence tomography (OCT), adaptive optics and deep neural networks should enable better diagnosis and monitoring for neuron-damaging eye and brain diseases like glaucoma.
Artist's rendering of photoreceptor signaling a retinal ganglion cell

Computer model fosters potential improvements to ‘bionic eye’ technology

Researchers at Keck School of Medicine of USC develop signals that could bring color vision and improved clarity to prosthesis for the blind.

Artificial Neuron Device Could Shrink Energy Use and Size of Neural Network Hardware

Training neural networks to perform tasks, such as recognizing images or navigating self-driving cars, could one day require less computing power and hardware thanks to a new artificial neuron device.
Two boys smile at the camera. Asymmetric dark spots block parts of the image, representing vision loss from diabetic retinopathy.

AI algorithms detect diabetic eye disease inconsistently

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

VisionQuest Gains FDA 510(k) Clearance for the Image Quality Analyzer Software

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.
Color-coded map of gene expression. Credit: Desplan Lab/NYU

NYU researchers create a "developmental atlas" of gene expression in neurons

New York University researchers created a “developmental atlas” of gene expression in neurons, using gene sequencing and machine learning to categorize more than 250,000 neurons in the brains of fruit flies.
Scientist on her computer

Researchers Discover ‘Spooky’ Similarity In How Brains and Computers See

A new paper in Current Biology details how neurons in area V4, the first stage specific to the brain’s object vision pathway, represent 3D shape fragments, not just the 2D shapes used to study V4 for the last 40 years.