ArticleBiomedical optics express2020
Testing a phantom eye under various signal-to-noise ratio conditions using eleven different OCT devices.
Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Tailored-Reflectivity Microstructures for Measuring Signal Sensitivity of Optical Coherence Tomography Medical Imaging Systems.Advanced materials technologies · 2025Article
- CNN-Based Device-Agnostic Feature Extraction From ONH OCT Scans.Translational vision science & technology · 2024Article
- Durable 3D murine ex vivo retina glaucoma models for optical coherence tomography.Biomedical optics express · 2023Article
- A model eye for fluorescent characterization of retinal cultures and tissues.Scientific reports · 2023Article
- An intelligent method for measuring high refractive index based on optical coherence tomography and image processing.Heliyon · 2022Article
- Retinal layer thicknesses retrieved with different segmentation algorithms from optical coherence tomography scans acquired under different signal-to-noise ratio conditions.Biomedical optics express · 2020Article
- Structure-Function Analysis in Macular Drusen With Mesopic and Scotopic Microperimetry.Translational vision science & technology · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We compared eleven OCT devices in their ability to quantify retinal layer thicknesses under different signal-strength conditions, using a commercially available phantom eye. We analyzed a medium-intensity 50 µm layer in an identical manner for all devices, using the provided log-scale images and a reconstructed linear-scale tissue reflectivity metric. Thickness measurements were highly comparable when the data were analyzed in an identical manner. With optimal signal strength, the thickness of the 50 µm layer was overestimated by a mean of 4.3 µm in the log-scale images and of 2.7 µm in the linear-scale images.
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Registered trials
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