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利用基于可见的光光学相干断层扫描的多模态成像技术对活体视网膜色素上皮细胞中的脂褐素进行定量分析。

Quantifying lipofuscin in retinal pigment epithelium in vivo by visible-light optical coherence tomography-based multimodal imaging.

机构信息

Department of Biomedical Engineering, Florida International University, 10555 W Flagler St, Miami, FL, 33174, USA.

Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, 1638 NW 10 Ave, Miami, FL, 33136, USA.

出版信息

Sci Rep. 2020 Feb 19;10(1):2942. doi: 10.1038/s41598-020-59951-y.

Abstract

Lipofuscin in the retinal pigment epithelium (RPE) is the major source of fundus autofluorescence (FAF). A technical challenge to accurately quantify the FAF intensities, thus the lipofuscin concentration, is to compensate the light attenuation of RPE melanin. We developed the VIS-OCT-FAF technology to accomplish optical coherence tomography (OCT) and FAF simultaneously with a single broadband visible light source. We demonstrated that light attenuation by RPE melanin can be assessed and corrected using the depth-resolved OCT signals. FAF images from albino and pigmented rats showed that without compensation, FAF signals from pigmented rats are lower than that from albinos. After compensation, however, FAF signals from pigmented rats are higher. This finding is supported by measurements of lipofuscin fluorophore A2E in the RPE using liquid chromatography/mass spectrometry (LC/MS) showing that compensated FAF intensities correlate linearly with A2E contents. The present work represents an important step toward accurately assessing RPE lipofuscin concentrations by FAF.

摘要

视网膜色素上皮 (RPE) 中的脂褐素是眼底自发荧光 (FAF) 的主要来源。准确量化 FAF 强度(从而量化脂褐素浓度)的一个技术挑战是补偿 RPE 黑色素的光衰减。我们开发了 VIS-OCT-FAF 技术,使用单一宽带可见光源同时实现光相干断层扫描 (OCT) 和 FAF。我们证明可以使用深度分辨 OCT 信号来评估和校正 RPE 黑色素的光衰减。白化和色素沉着大鼠的 FAF 图像表明,在没有补偿的情况下,色素沉着大鼠的 FAF 信号低于白化大鼠。然而,经过补偿后,色素沉着大鼠的 FAF 信号更高。这一发现得到了使用液相色谱/质谱 (LC/MS) 测量 RPE 中脂褐素荧光团 A2E 的支持,表明补偿后的 FAF 强度与 A2E 含量呈线性相关。本工作代表了通过 FAF 准确评估 RPE 脂褐素浓度的重要一步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d173/7031367/b254462008d5/41598_2020_59951_Fig1_HTML.jpg

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