Animal Eye Models Using Full-field Optical Coherence Tomography
碩士 === 國立臺灣大學 === 光電工程學研究所 === 106 === Accurate diagnosis of corneal pathology and morphological identification of different corneal layers require clear delineation of corneal three-dimensional structures and en face or cross-sectional imaging of palisade of Vogt (POV), neovascularization or cornea...
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ndltd-TW-106NTU051240462019-05-16T01:00:02Z http://ndltd.ncl.edu.tw/handle/fnak48 Animal Eye Models Using Full-field Optical Coherence Tomography 全域式光學同調斷層掃描術用於動物眼睛模型之特性分析 Yu-Tung Chen 陳昱彤 碩士 國立臺灣大學 光電工程學研究所 106 Accurate diagnosis of corneal pathology and morphological identification of different corneal layers require clear delineation of corneal three-dimensional structures and en face or cross-sectional imaging of palisade of Vogt (POV), neovascularization or corneal nerves. Here we report a prototype of full-field optical coherent tomography (FF-OCT) system with isotropic sub-micron spatial resolution in the en face and cross-sectional views. It can also provide three-dimensional reconstructed images and a large field of view by stitching tomograms side by side. We validated the imaging power of this prototype in in vivo rat and rabbit eyes, and quantified anatomical characteristics such as corneal layer thickness, endothelial cell density and the intensity profile of different layers. The mean thicknesses of rat corneal epithelium, Bowman-to-stroma, Descemet’s membrane, and endothelium were 54.1±4.0 μm, 97.4±5.0 μm, 5.9±0.8 μm, and 1.7±0.3 μm, respectively. The cell density of rat polygonal endothelial cells was quantified to be 2211±166 per mm2. This FF-OCT delineated the ridge-like structure of POV, corneal nerve bundles, and conjunctival vessels in rat eyes. It also clearly identified the vessel walls and red blood cells in rabbit model of corneal neovascularization (NV). The findings provided by this FF-OCT are expected to facilitate corneal disease diagnosis and treatment. 黃升龍 2018 學位論文 ; thesis 96 zh-TW |
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碩士 === 國立臺灣大學 === 光電工程學研究所 === 106 === Accurate diagnosis of corneal pathology and morphological identification of different corneal layers require clear delineation of corneal three-dimensional structures and en face or cross-sectional imaging of palisade of Vogt (POV), neovascularization or corneal nerves. Here we report a prototype of full-field optical coherent tomography (FF-OCT) system with isotropic sub-micron spatial resolution in the en face and cross-sectional views. It can also provide three-dimensional reconstructed images and a large field of view by stitching tomograms side by side. We validated the imaging power of this prototype in in vivo rat and rabbit eyes, and quantified anatomical characteristics such as corneal layer thickness, endothelial cell density and the intensity profile of different layers. The mean thicknesses of rat corneal epithelium, Bowman-to-stroma, Descemet’s membrane, and endothelium were 54.1±4.0 μm, 97.4±5.0 μm, 5.9±0.8 μm, and 1.7±0.3 μm, respectively. The cell density of rat polygonal endothelial cells was quantified to be 2211±166 per mm2. This FF-OCT delineated the ridge-like structure of POV, corneal nerve bundles, and conjunctival vessels in rat eyes. It also clearly identified the vessel walls and red blood cells in rabbit model of corneal neovascularization (NV). The findings provided by this FF-OCT are expected to facilitate corneal disease diagnosis and treatment.
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黃升龍 |
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黃升龍 Yu-Tung Chen 陳昱彤 |
author |
Yu-Tung Chen 陳昱彤 |
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Yu-Tung Chen 陳昱彤 Animal Eye Models Using Full-field Optical Coherence Tomography |
author_sort |
Yu-Tung Chen |
title |
Animal Eye Models Using Full-field Optical Coherence Tomography |
title_short |
Animal Eye Models Using Full-field Optical Coherence Tomography |
title_full |
Animal Eye Models Using Full-field Optical Coherence Tomography |
title_fullStr |
Animal Eye Models Using Full-field Optical Coherence Tomography |
title_full_unstemmed |
Animal Eye Models Using Full-field Optical Coherence Tomography |
title_sort |
animal eye models using full-field optical coherence tomography |
publishDate |
2018 |
url |
http://ndltd.ncl.edu.tw/handle/fnak48 |
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