A new deep learning algorithm is superior to human experts in distinguishing between retinal ganglion cells in healthy patients and in those with glaucoma. The AI system could potentially help improve the diagnosis of both eye and brain diseases.
Artificial IntelligenceDeep LearningFeaturedMachine LearningNeurologyNeuroscienceVisual Neuroscience··5 min read
A newly developed system that uses OCT imaging and deep learning should enable better detection and monitoring of glaucoma.
Light sensitive cells in the fetal retina communicate as part of an interconnected network, giving the retina more light sensitivity during development that previously believed.
Study challenges the widely accepted belief that all light information is relayed through the suprachiasmatic nucleus, which synchronizes the circadian rhythm.
CT1 cells connect around 1400 areas in the fly brain. Each cell area works like a separate neuron, allowing CT1 to access information from the fly's eye and support local motion detection.
Gene therapy that targets retinal ganglion cells with light-sensitive cone opsins helps restore vision in mice. Researchers report a potential human treatment could be available within three years.
Researchers uncover how specific retinal cells respond to the artificial light generated by cell phone and tablets. The study reveals how retinal ganglion cells process ambient light and reset our circadian clocks, leading to sleep disruptions.