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In vivo volumetric imaging of chicken retina with ultrahigh-resolution spectral domain optical coherence tomography

机译:鸡视网膜的体内体积成像与超高分辨率光谱域光学相干断层扫描

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The chicken retina is an established animal model for myopia and light-associated growth studies. It has a unique morphology: it is afoveate and avascular; oxygen and nutrition to the inner retina is delivered by a vascular tissue (pecten) that protrudes into the vitreous. Here we present, to the best of our knowledge, the first in vivo, volumetric high-resolution images of the chicken retina. Images were acquired with an ultrahigh-resolution optical coherence tomography (UHROCT) system with 3.5 μm axial resolution in the retina, at the rate of 47,000 A-scans/s. Spatial variations in the thickness of the nerve fiber and ganglion cell layers were mapped by segmenting and measuring the layer thickness with a semi-automatic segmentation algorithm. Volumetric visualization of the morphology and morphometric analysis of the chicken retina could aid significantly studies with chicken retinal models of ophthalmic diseases.
机译:鸡视网膜是近视和光相关生长研究的公认动物模型。它具有独特的形态:叶脉和无血管。进入视网膜的氧气和营养是通过伸入玻璃体的血管组织(果胶)传递的。在此,我们以我们所知,展示了鸡视网膜的第一张体内体积高分辨率图像。使用超高分辨率光学相干断层扫描(UHROCT)系统以3.5万微米的视网膜轴向分辨率采集图像,速率为47,000次A扫描/秒。神经纤维和神经节细胞层厚度的空间变化可通过使用半自动分段算法进行分段并测量其厚度来绘制。鸡视网膜形态的体积可视化和形态计量分析可以极大地帮助研究眼病的鸡视网膜模型。

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