{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Liu Z"],"funding":["NEI NIH HHS"],"pagination":["OCT533-43"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4970801"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["57(9)"],"pubmed_abstract":["Purpose
Dysfunction of the retinal pigment epithelium (RPE) underlies numerous retinal pathologies, but biomarkers sensitive to RPE change at the cellular level are limited. In this study, we used adaptive optics optical coherence tomography (AO-OCT) in conjunction with organelle motility as a novel contrast mechanism to visualize RPE cells and characterize their 3-dimensional (3D) reflectance profile.Methods
Using the Indiana AO-OCT imaging system (λc = 790 nm), volumes were acquired in the macula of six normal subjects (25-61 years). Volumes were registered in 3D with subcellular accuracy, layers segmented, and RPE and photoreceptor en face images extracted and averaged. Voronoi and two-dimensional (2D) power spectra analyses were applied to the images to quantify RPE and"],"journal":["Investigative ophthalmology & visual science"],"pubmed_title":["3D Imaging of Retinal Pigment Epithelial Cells in the Living Human Retina."],"pmcid":["PMC4970801"],"funding_grant_id":["P30 EY019008","R01 EY018339"],"pubmed_authors":["Kocaoglu OP","Liu Z","Miller DT"],"additional_accession":[]},"is_claimable":false,"name":"3D Imaging of Retinal Pigment Epithelial Cells in the Living Human Retina.","description":"Purpose
Dysfunction of the retinal pigment epithelium (RPE) underlies numerous retinal pathologies, but biomarkers sensitive to RPE change at the cellular level are limited. In this study, we used adaptive optics optical coherence tomography (AO-OCT) in conjunction with organelle motility as a novel contrast mechanism to visualize RPE cells and characterize their 3-dimensional (3D) reflectance profile.Methods
Using the Indiana AO-OCT imaging system (λc = 790 nm), volumes were acquired in the macula of six normal subjects (25-61 years). Volumes were registered in 3D with subcellular accuracy, layers segmented, and RPE and photoreceptor en face images extracted and averaged. Voronoi and two-dimensional (2D) power spectra analyses were applied to the images to quantify RPE and","dates":{"release":"2016-01-01T00:00:00Z","publication":"2016 Jul","modification":"2025-04-18T19:46:49.301Z","creation":"2019-03-27T02:19:44Z"},"accession":"S-EPMC4970801","cross_references":{"pubmed":["27472277"],"doi":["10.1167/iovs.16-19106"]}}