Largest known living-eye cone cell database maps differences by age, sex and retinal location
National Eye Institute researchers have created the largest known database providing a reference for the size of individual cone photoreceptors, the cells in the retina responsible for color vision, across the lifespan. This resource will help clinicians distinguish early disease-related damage from typical aging, enabling earlier diagnosis and better tracking of whether new treatments are…
Researchers at the National Eye Institute have compiled the most extensive database ever created of individual cone photoreceptors in the human retina. These cone cells are crucial for color vision. This massive dataset, available publicly for the first time, will aid clinicians in distinguishing disease-related damage from normal aging and monitor the effectiveness of new treatments at a cellular level.
Until now, there was no large-scale, openly accessible dataset showing the appearance of healthy cone photoreceptors across various ages, genders, and retinal locations. The study, published in Investigative Ophthalmology & Visual Science, involved imaging the retinas of 28 healthy volunteers, equally divided between men and women aged 12 to 84.
Advanced imaging technology called adaptive optics was used to capture detailed images, allowing researchers to precisely measure the size of each cone cell. An artificial intelligence algorithm traced the outlines of the cone cells, which were then reviewed and refined by multiple experts to ensure accuracy. The final dataset comprises 9,350 measured inner segments of cone cells.
The analysis revealed that cone size increases as one moves away from the fovea, the central part of the retina responsible for sharp vision, and becomes smaller near the fovea. Women's cones were found to be approximately 5% larger than men's on average. The research also showed that as people age, their cones gradually decrease in size, with the most significant shrinkage occurring in regions of the retina moderately distant from the fovea, indicating these areas might be particularly vulnerable to age-related changes.
This comprehensive database, developed over a decade with advancements in retinal imaging and artificial intelligence, is expected to facilitate future studies on retinal diseases by tracking minute cellular changes over time as new therapies are developed and evaluated. The researchers aim to expand the database to cover additional retinal regions and examine cone size variations in various blinding conditions such as retinitis pigmentosa, choroideremia, and Stargardt disease.
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