3D Imaging and Quantitative Characterization of Mouse Capillary Coronary Network Architecture.
3D Imaging and Quantitative Characterization of Mouse Capillary Coronary Network Architecture.
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DOI：
10.3390/biology10040306
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发表时间：
2021-04-07
期刊：
影响因子：
4.2
通讯作者：
Roux E
中科院分区：
文献类型：
--
作者：
Nicolas N;Roux E
心血管系统由两个物理和功能相连的部分组成，即心脏和血管网络，血管网络由动脉、毛细血管和静脉组成。在这个系统中，心脏维持血液流动，包括其自身通过冠状血管网络的血液流动，带来其活动所需的氧气和营养物质。微血管化构成该网络的远端部分，由小血管（即小动脉和毛细血管）组成。冠状动脉微血管疾病与心脏功能障碍的发生有关。因此，冠状动脉微血管网络结构的识别对于了解心脏病至关重要。我们研究的目的是建立一种易于使用的 3D 成像和 3D 处理方法，以定量表征小鼠的毛细血管冠状网络结构，小鼠主要用作心力衰竭的动物模型。这项研究提出了一种 3D 图像处理的标准化方法，可以量化 3D 毛细管结构。基于开源软件，生物学家可以轻松访问整个过程。因此，它对于心血管疾病的研究和未来疗法的开发很有用。心脏毛细血管网络结构的表征对于了解正常冠状动脉功能特性和冠状动脉微血管疾病至关重要。我们研究的目的是建立一种易于使用的 3D 成像和 3D 处理方法，以定量表征小鼠毛细血管冠状网络结构。实验在 C57BL/6J 小鼠上进行。通过注射凝集素标记毛细血管内皮后，通过光片显微镜和共聚焦显微镜对 iDISCO+ 光学透明心脏进行 3D 成像。 3D 图像使用开源软件 ImageJ 进行处理。非视觉图像分割基于体素灰度值的频率分布，然后是骨架化和距离映射。左右心室和隔膜的毛细血管网络通过体积网络密度、分形维数、节段和节点的数量及其比例、网络总长度以及节段的平均长度、直径和弯曲度来表征。与比例相关的参数值可能会受到 3D 成像技术的分辨率限制的影响。所提出的 3D 图像处理标准化方法对于生物学家来说在投资和难度方面都很容易获得，并且允许量化 3D 毛细管结构及其在不同条件下的统计比较。
The cardiovascular system is composed of two physically and functionally linked parts, the heart and the vascular network, composed of the arteries, capillaries, and veins. In this system, the heart maintains the blood flow, including its own through the coronary vascular network, bringing oxygen and nutrients required for its activity. Microvascularization constitutes the distal part of this network and is composed of small vessels, i.e., arterioles and capillaries. Coronary microvascular diseases are associated with the development of cardiac dysfunction. Identification of the coronary microvascular network structure is hence of critical importance for the understanding of heart diseases. The aim of our study was to establish an accessible methodology for 3D imaging and 3D processing to quantitatively characterize the capillary coronary network architecture in mice, a species largely used as an animal model of cardiac failure. This study proposes a standardized methodology for 3D image processing that allows the quantification of the 3D capillary architecture. Based on an open source software, the whole process is easily accessible for biologists. It is hence useful for the study of cardiovascular diseases and the development of future therapies. Characterization of the cardiac capillary network structure is of critical importance to understand the normal coronary functional properties and coronary microvascular diseases. The aim of our study was to establish an accessible methodology for 3D imaging and 3D processing to quantitatively characterize the capillary coronary network architecture in mice. Experiments were done on C57BL/6J mice. 3D imaging was performed by light sheet microscopy and confocal microscopy on iDISCO+ optical cleared hearts after labelling of the capillary endothelium by lectin injection. 3D images were processed with the open source software ImageJ. Non-visual image segmentation was based of the frequency distribution of the voxel greyscale values, followed by skeletonization and distance mapping. Capillary networks in left and right ventricles and septum were characterized by the volume network density, the fractal dimension, the number of segments and nodes and their ratio, the total network length, and the average length, diameter, and tortuosity of the segments. Scale-dependent parameter values can be impacted by the resolution limit of the 3D imaging technique. The proposed standardized methodology for 3D image processing is easily accessible for a biologist in terms of investment and difficulty level, and allows the quantification of the 3D capillary architecture and its statistical comparison in different conditions.
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影响因子：
6.3
作者：
Lugo-Hernandez, Erlen;Squire, Anthony;Hermann, Dirk M.
通讯作者：
Hermann, Dirk M.
影响因子：
4
作者：
Smith, Amy F.;Doyeux, Vincent;Lorthois, Sylvie
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影响因子：
3.9
作者：
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通讯作者：
Henein M
影响因子：
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作者：
SCHMI.K;PENNYCUIK, P
通讯作者：
PENNYCUIK, P
影响因子：
19.6
作者：
AMANN, K;WIEST, G;MALL, G
通讯作者：
MALL, G