Resource Catalog
Explore datasets, tools and resources across our research areas.
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A software package for identifying cone photoreceptors in non-confocal adaptive optics images such as split detection. This software was primarily developed by Jianfei Liu, Andrei Volkov, and Johnny Tam, with research support from the Intramural Research Program of the National Institutes of Health, National Eye Institute. Additional details about the algorithms used can be found in the reference listed below.
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Learn about the precise description of AMD disease pathobiology by using AMD genetic risk factors as sentinels for specific RPE signaling pathways and for changes in RPE physiology. -
Probe the relatedness and biological processes between the cornea, retina, RPE (choroid), and the rest of the human tissues by using a fully integrated dataset with differential expression, clustering, and GO term enrichment tools. -
A data and DNA resource for researchers to facilitate the investigation into rare inherited eye diseases. -
Global RNA landscape associated with ocular development, aging, and disease.