The quantitative analysis of blood vessel networks is an important component in many animal models of disease. We describe a nondestructive technique for blood vessel imaging that visualizes in situ vasculature in harvested tissues. The method allows for further analysis of the same tissues with histology and other methods that can be performed on fixed tissue. Consequently, it can easily be incorporated upstream to analysis methods to augment these with a three-dimensional reconstruction of the vascular network in the tissues to be analyzed. The method combines iodine-enhanced micro-computed tomography with a deep learning algorithm to segment vasculature within tissues. The procedure is relatively simple and can provide insight into complex changes in the vascular structure in the tissues.

中文翻译：

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一种快速、无损的血管网络可视化方法。

血管网络的定量分析是许多疾病动物模型的重要组成部分。我们描述了一种血管成像的无损技术，该技术可在采集的组织中可视化原位脉管系统。该方法允许使用可以在固定组织上执行的组织学和其他方法对相同组织进行进一步分析。因此，它可以很容易地合并到分析方法的上游，以通过对要分析的组织中的血管网络进行三维重建来增强这些方法。该方法将碘增强显微计算机断层扫描与深度学习算法相结合，以分割组织内的脉管系统。该过程相对简单，可以深入了解组织中血管结构的复杂变化。