Chartrand Camille, Le Andy Vinh, Fenech Marianne
Department of Mechanical Engineering, University of Ottawa, Canada.
Centre de Biochimie Structurale, CNRS UMR 5048-INSERM UMR 1054, University of Montpellier, 34090 Montpellier, France.
MethodsX. 2023 Mar 12;10:102110. doi: 10.1016/j.mex.2023.102110. eCollection 2023.
This method describes the use of thick round borosilicate glass micro-channels for blood flow visualization using micro-particle image velocimetry (µPIV) techniques. In contrast with popular methods using squared polydimethylsiloxane channels, this method allows for visualization of blood flow in channel geometries that resemble more the natural physiology of human blood vessels. With a custom designed enclosure, the microchannels were submerged in glycerol to reduce light refraction occurring during µPIV due to the thick walls of the glass channels. A method is proposed to correct the extracted velocity profiles from the µPIV to account for out-of-focus error. The customized elements of this method include: • The use of thick circular glass micro-channels, • a custom designed mounting solution for the channels on a glass slide for flow visualization, • a MATLAB code to correct velocity profile accounting for out-of-focus error.
该方法描述了使用厚壁圆形硼硅酸盐玻璃微通道，通过微粒子图像测速技术（µPIV）可视化血流。与使用方形聚二甲基硅氧烷通道的常用方法相比，该方法能够在更接近人体血管自然生理结构的通道几何形状中可视化血流。通过定制设计的外壳，将微通道浸没在甘油中，以减少在µPIV过程中由于玻璃通道厚壁而产生的光折射。提出了一种从µPIV中校正提取的速度剖面以考虑离焦误差的方法。该方法的定制元素包括：• 使用厚壁圆形玻璃微通道，• 为在载玻片上进行流动可视化而定制设计的通道安装解决方案，• 用于校正考虑离焦误差的速度剖面的MATLAB代码。
