Ng Yan Cheng, Fisher Liam K, Salim Veena, Kim Sangho, Namgung Bumseok
NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore; Department of Biomedical Engineering, National University of Singapore.
Department of Biomedical Engineering, National University of Singapore.
J Vis Exp. 2016 Oct 19(116):54550. doi: 10.3791/54550.
The cell-free layer is defined as the parietal plasma layer in the microvessel flow, which is devoid of red blood cells. The measurement of the in vivo cell-free layer width and its spatiotemporal variations can provide a comprehensive understanding of hemodynamics in microcirculation. In this study, we used an intravital microscopic system coupled with a high-speed video camera to quantify the cell-free layer widths in arterioles in vivo. The cremaster muscle of Sprague-Dawley rats was surgically exteriorized to visualize the blood flow. A custom-built imaging script was also developed to automate the image processing and analysis of the cell-free layer width. This approach enables the quantification of spatiotemporal variations more consistently than previous manual measurements. The accuracy of the measurement, however, partly depends on the use of a blue filter and the selection of an appropriate thresholding algorithm. Specifically, we evaluated the contrast and quality of images acquired with and without the use of a blue filter. In addition, we compared five different image histogram-based thresholding algorithms (Otsu, minimum, intermode, iterative selection, and fuzzy entropic thresholding) and illustrated the differences in their determination of the cell-free layer width.
无细胞层被定义为微血管血流中不含红细胞的壁层血浆层。体内无细胞层宽度及其时空变化的测量能够提供对微循环血流动力学的全面理解。在本研究中,我们使用了一套活体显微镜系统结合高速摄像机来量化体内小动脉中的无细胞层宽度。将Sprague-Dawley大鼠的提睾肌通过手术暴露以观察血流情况。还开发了一个定制的成像脚本以实现无细胞层宽度图像处理和分析的自动化。与之前的手动测量相比,这种方法能够更一致地量化时空变化。然而,测量的准确性部分取决于蓝色滤光片的使用以及合适阈值算法的选择。具体而言,我们评估了使用和不使用蓝色滤光片时采集图像的对比度和质量。此外,我们比较了五种基于图像直方图的不同阈值算法(大津法、最小值法、双峰法、迭代选择法和模糊熵阈值法),并说明了它们在确定无细胞层宽度方面的差异。