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血管内皮生长因子荧光共聚焦显微图像分析

黄妍 丁云鹤 赵诣深 张璐

北京生物医学工程2025,Vol.44Issue(1):1-8,8.
北京生物医学工程2025,Vol.44Issue(1):1-8,8.DOI:10.3969/j.issn.1002-3208.2025.01.001

血管内皮生长因子荧光共聚焦显微图像分析

The analysis of vascular endothelial growth factor fluorescence confocal microscopy images

黄妍 1丁云鹤 1赵诣深 1张璐1

作者信息

  • 1. 首都医科大学生物医学工程学院(北京 100069)||首都医科大学临床生物力学应用基础研究北京市重点实验室(北京 100069)
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摘要

Abstract

Object To establish a method for visualizing and quantifying the abnormal expression of vascular endothelial growth factor(VEGF)in the retina,and to help the early detection and treatment of diabetic retinopathy(DR).Methods Immunofluorescence staining and imaging were performed on the rat retinal flatmounts.VEGF and microvessels were segmented,extracted and reconstructed.Quantitative parameters such as positive VEGF units,microvascular density and fractal dimension were used and the differences between the 8-week diabetic retinopathy model group(n=10)and the normal control group(n=10)were compared.Results In the DR model,there was colocalization between the high expression region of VEGF probe and the abnormal region of vascular,and VEGF accumulates on the surface of retinal microvascular bifurcation or swollen vessel wall.The fractal dimension,density and curvature of microvessels in DR group were significantly higher than those in normal control group(P<0.05).The positive unit(PU)value of VEGF in DR group was significantly higher than that in comparison group(P<0.05).There was no significant difference in microvascular void(P>0.05).Conclusions In this study,a quantitative evaluation method of VEGF is proposed,which can reflect the abnormal distribution of VEGF in the retina of DR model qualitatively and quantitatively,and provide a quantitative and visual way for the research of anti-VEGF drugs.

关键词

糖尿病视网膜病变/血管/荧光成像/定量分析/图像重建

Key words

diabetic retinopathy/blood vessels/fluorescence imaging/quantitative analysis/image reconstruction

分类

医药卫生

引用本文复制引用

黄妍,丁云鹤,赵诣深,张璐..血管内皮生长因子荧光共聚焦显微图像分析[J].北京生物医学工程,2025,44(1):1-8,8.

基金项目

北京市教育委员会科学研究计划项目(KM202010025026)资助 (KM202010025026)

北京生物医学工程

1002-3208

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