We have established a holographic particle tracking velocimetry (HPTV) technique based on compressed sensing (CS) for measurement of the velocity field of microflows in this study. In conventional HPTV, where the scattered light field is reconstructed via backpropagation calculations, the particle image spreads greatly in the depth direction and it is then difficult to perform three-dimensional three-component (3D3C) measurements with high accuracy. In the proposed method, CS is applied based on the spatial sparseness of the particle distribution and highly accurate 3D3C measurements are made possible by direct reconstruction of the particle distribution. In this paper, we explain the principle of HPTV based on CS and report the results of evaluation of the velocity vector distribution measurement of a micro linear channel. The experimental results indicate that the proposed method is effective for 3D3C measurements of microflows. Measurement of the velocity field of microflows is becoming increasingly important in the development of microfluidic devices and in the understanding of biological mechanisms. The proposed method is expected to provide an effective technique for use in these applications.

我们已经建立了基于压缩传感（CS）的全息粒子跟踪测速技术（HPTV），用于测量微流速度场。在传统的HPTV中，通过反向传播计算重建了散射光场，粒子图像在深度方向上扩散很大，因此很难进行高精度的三维三分量（3D3C）测量。在所提出的方法中，基于粒子分布的空间稀疏性应用了CS，并且通过直接重建粒子分布，可以实现高精度的3D3C测量。在本文中，我们解释了基于CS的HPTV的原理，并报告了对微线性通道的速度矢量分布测量的评估结果。实验结果表明，该方法对于3D3C微流测量是有效的。在开发微流体装置和理解生物学机制中，微流速度场的测量变得越来越重要。预期所提出的方法将提供一种在这些应用中使用的有效技术。