Gong Peijun, Yu Dao-Yi, Wang Qiang, Yu Paula K, Karnowski Karol, Heisler Morgan, Francke Ashley, An Dong, Sarunic Marinko V, Sampson David D
Optical+Biomedical Engineering Laboratory, Department of Electrical, Electronic and Computer Engineering, The University of Western Australia, Perth, WA, Australia.
Centre for Ophthalmology and Visual Science, The University of Western Australia, Perth, WA, Australia.
J Biophotonics. 2018 Aug;11(8):e201800070. doi: 10.1002/jbio.201800070. Epub 2018 Jul 13.
We employ optical coherence tomography (OCT) and optical coherence microscopy (OCM) to study conjunctival lymphatics in porcine eyes ex vivo. This study is a precursor to the development of in vivo imaging of the collecting lymphatics for potentially guiding and monitoring glaucoma filtration surgery. OCT scans at 1300 nm and higher-resolution OCM scans at 785 nm reveal the lymphatic vessels via their optical transparency. Equivalent signal characteristics are also observed from blood vessels largely free of blood (and devoid of flow) in the ex vivo conjunctiva. In our lymphangiography, vessel networks were segmented by compensating the depth attenuation in the volumetric OCT/OCM signal, projecting the minimum intensity in two dimensions and thresholding to generate a three-dimensional vessel volume. Vessel segmentation from multiple locations of a range of porcine eyes (n = 21) enables visualization of the vessel networks and indicates the varying spatial distribution of patent lymphatics. Such visualization provides a new tool to investigate conjunctival vessels in tissue ex vivo without need for histological tissue processing and a valuable reference on vessel morphology for the in vivo label-free imaging studies of lymphatics to follow.
我们采用光学相干断层扫描(OCT)和光学相干显微镜(OCM)对猪眼的结膜淋巴管进行离体研究。本研究是开发用于潜在指导和监测青光眼滤过手术的集合淋巴管体内成像的先驱。1300 nm的OCT扫描和785 nm的高分辨率OCM扫描通过淋巴管的光学透明度显示淋巴管。在离体结膜中,在基本无血(且无血流)的血管中也观察到了等效的信号特征。在我们的淋巴管造影中,通过补偿体积OCT/OCM信号中的深度衰减、在二维中投影最小强度并进行阈值处理以生成三维血管体积,对血管网络进行分割。从一系列猪眼(n = 21)的多个位置进行血管分割,可以实现血管网络的可视化,并显示出开放淋巴管的不同空间分布。这种可视化提供了一种新工具,可在无需组织学组织处理的情况下对离体组织中的结膜血管进行研究,并且为后续淋巴管的体内无标记成像研究提供了关于血管形态的宝贵参考。