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A Home for National Eye Institute Supported Data and Resources

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A software for enhancing the visualization of fluorescently-labeled retinal pigment epithelial cells from late phase indocyanine green (ICG) images.

A software for enhancing the pixel resolution of cone photoreceptor cells from sparsely sampled adaptive optics optical coherence tomography (AOOCT) images.

RPE Detection is a software package for identifying retinal pigment epithelial (RPE) cells in adaptive optics images-enhanced indocyanine green (AO-ICG) images using machine learning.

A software package for segmenting cone photoreceptor cells from non-confocal split detection adaptive optics images using machine learning.

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Explore Our Research Areas

PLatform for Analysis of scEiad (PLAE)

Learn about gene expression by retina cell type across different studies, four organisms, and multiple developmental stages.

Perception, Cognition, and Action

Learn about data and code that accompany papers published by the Perception, Cognition, and Action Section at NEI.

Patient-Reported Outcomes with LASIK (PROWL)

Learn about a clinical trial aimed to validate a survey tool that assesses visual symptoms both before and after LASIK surgery and to identify changes over a short period of time.

Ocular Proteome

NEI has made the Ocular Proteome dataset available so that researchers can analyze protein changes related to genetic eye diseases.

Next Generation Sequencing (Ocular Genomes)

Learn more about data and code generated from the Neurobiology Neurodegeneration and Repair Laboratory at NEI.

eyeGENE® (National Ophthalmic Disease Genotyping and Phenotyping Network)

Learn about the phenotype and genotype data for over 30 inherited eye conditions.

eyeIntegration

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.

Adaptive Optics

Explore open-source software tools developed for adaptive optics retinal imaging data.

AMD Integrative Biology Initiative

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.

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