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Increases in speed and sensitivity enabled rapid clinical adoption of optical coherence tomography (OCT) in ophthalmology. Recently, visible-light OCT (vis-OCT) achieved ultrahigh axial resolution, improved tissue contrast, and provided new functional imaging capabilities, demonstrating the potential to improve clinical care further. However, limited speed and sensitivity caused by the high relative intensity noise (RIN) in supercontinuum lasers impeded the clinical adoption of vis-OCT. To overcome these limitations, we developed balanced-detection vis-OCT (BD-vis-OCT), which uses two calibrated spectrometers to cancel RIN and other noises. We analyzed the RIN to achieve robust subpixel calibration between the two spectrometers and showed that BD-vis-OCT reduced the A-line noise floor by up to 20.5 dB. Metrics comparing signal-to-noise-ratios showed similar image qualities across multiple reference arm powers, a hallmark of operation near the shot-noise limit. We imaged healthy human retinas at an A-line rate of 125 kHz and a field-of-view up to 10 mm ×4 mm. We found that BD-vis-OCT revealed retinal anatomical features previously obscured by the noise floor.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921460 | PMC |
http://dx.doi.org/10.1109/TMI.2022.3147497 | DOI Listing |
Jpn J Ophthalmol
September 2025
Department of Ophthalmology, Osaka University Graduate School of Medicine, Room E7, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Abtract: PURPOSE: To evaluate the correlation between corneal backscatter and visual function in patients with Fuchs endothelial corneal dystrophy (FECD).
Study Design: Prospective case series.
Methods: This study included 53 eyes from 38 patients with FECD.
J Glaucoma
September 2025
Hamilton Glaucoma Center, Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, CA, United States.
Precis: Artificial intelligence applied to OCTA images demonstrated high accuracy in estimating 24-2 visual field maps by leveraging information from pararpapillary area.
Purpose: To develop deep learning (DL) models estimating 24-2 visual field (VF) maps from optical coherence tomography angiography (OCTA) optic nerve head (ONH) en face images.
Methods: A total of 3148 VF OCTA pairs were collected from 994 participants (1684 eyes).
Invest Ophthalmol Vis Sci
September 2025
Department of Ophthalmology, Edward S. Harkness Eye Institute, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, Columbia University, New York, New York, United States.
Purpose: To characterize a no b-wave (nob) mouse model of congenital stationary night blindness (CSNB) caused by a Grm6 variant that disrupts photoreceptor-to-bipolar cell signaling. Additionally, we aim to evaluate the efficacy of gene therapy in restoring visual function.
Methods: The nob mouse was generated through selective breeding to regenerate the nob phenotype.
Invest Ophthalmol Vis Sci
September 2025
Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
Purpose: The purpose of this study was to investigate the focal relationship between choroidal thickness and retinal sensitivity in myopic eyes.
Methods: Participants underwent swept-source optical coherence tomography (SS-OCT) imaging and microperimetry testing. Choroidal thicknesses were obtained by segmenting the SS-OCT scans using a deep-learning approach.
Invest Ophthalmol Vis Sci
September 2025
The University of Leicester Ulverscroft Eye Unit, School of Psychology and Vision Sciences, University of Leicester, Leicester, United Kingdom.
Purpose: To define the genetic architecture of foveal morphology and explore its relevance to foveal hypoplasia (FH), a hallmark of developmental macular disorders.
Methods: We applied deep-learning algorithms to quantify foveal pit depth from central optical coherence tomography (OCT) B-scans in 61,269 UK Biobank participants. A genome-wide association study (GWAS) was conducted using REGENIE, adjusting for age, sex, height, and ancestry.