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In vivo autofluorescence lifetime imaging at the fundus of the human eye

机译:在人眼底的体内自发荧光寿命成像

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Changes in cellular metabolism are considered first signs of fundus diseases, e.g. of age-related macular degeneration. Changes in the metabolism can potentially be detected by measuring the autofluorescence of the fundus. The fundus contains a wide variety of fluorophores in different binding and quenching states. The fluorescence signals cannot be clearly discriminated by commonly used steady state imaging techniques, even when these are combined with spectral resolution and excitation wavelength multiplexing. A considerable improvement is obtained by fluorescence lifetime imaging (FLIM). FLIM not only adds an additional discrimination parameter to distinguish different fluorophores but also resolves different quenching states of the same fluorophore. Due to its high sensitivity and high time resolution, its capability to resolve multi-exponential decay functions, and its easy combination with fast scanning we use multi-dimensional time-correlated single photon counting for fundus imaging. By analyzing the spectral properties of the expected fluorophores in the fundus, we show that improved discrimination of fluorophores is obtained by FLIM in combination with selected excitation wavelength and emission wavelength. As demonstrated in lifetime histograms of 40° fundus images, several fluorophores are excited at 446 nm, but predominantly lipofuscin at 468 nm excitation. Simultaneous detection of lifetime images in two emission ranges 500 nm to 560 nm and 560 nm to 700 nm improves further the discrimination of fluorophores.
机译:细胞新陈代谢的变化被认为是眼底疾病的首先迹象,例如,与年龄相关的黄斑变性。通过测量眼底的自发荧光,可以检测到新陈代谢的变化。眼底在不同的结合和淬火状态下含有各种各样的荧光团。即使这些与光谱分辨率和激发波长复用组合,也不能清楚地区分荧光信号。通过荧光寿命成像(FLIM)获得相当大的改进。 Flim不仅增加了额外的辨别参数以区分不同的荧光团,而且还可以解析相同荧光团的不同猝灭状态。由于其高灵敏度和高时间分辨率,其能够解决多指数衰减函数,其简单组合与快速扫描我们使用多维时间相关的单光子计数对眼底成像。通过分析眼底中预期荧光团的光谱特性,我们表明通过与所选激发波长和发射波长的混合物FLIM获得改进的荧光团的辨别。如40°眼底图像的寿命直方图所示,几种荧光团在446nm处激发,但主要是脂肪属植物蛋白在468nm激发下。同时检测在两个发射中的寿命图像范围为500nm至560nm,560nm至700nm改善荧光团的识别。

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