Data underlying the research on particle manipulation using hydrodynamic forcing. This dataset consist of the experimental data of a single particle trapping in a Hele-Shaw cell.

The reseach objective is to present a microfluidic approach to achieve the dynamic control of particle pathlines within a flow through microfluidic device. Our approach combines three key aspects: the design of a flow-through microfluidic flow cell with the ability to manipulate the streamlines of the flow, an optimization procedure to find a priori optimal particle path-lines, and a Proportion-Integral-Derivative-based (PID) feedback controller to provide real time control over the particle manipulations. The experimental raw images were recorded with a sCMOS camera (PCO) with a pixel pitch of 6.5 μm. The camera was mounted on a microscope (Nikon Eclipse Ti) with a 1x objective. The acquisition frequency was 5 Hz corresponding to an average in-plane displacement of 4-6 pixels between two consecutive recordings. The zip file contains the raw images and the MATLAB script used to do an experiment of arbitarily selecting a particle and trapping it by only using the hydrodynamic forcing in a Hele-Shaw cell.

本研究旨在提出一种微流控方法，以实现微流控装置内流场中粒子运动迹线的动态调控。本方法融合三项核心技术：一是设计具备流场流线操控能力的通流式微流控流室；二是构建用于获取先验最优粒子运动迹线的优化流程；三是采用基于比例-积分-微分（Proportion-Integral-Derivative，PID）的反馈控制器，实现粒子操控的实时调控。实验原始图像由sCMOS（scientific Complementary Metal-Oxide-Semiconductor）相机（PCO）采集，该相机像素间距为6.5 μm，安装于搭配1×物镜的尼康（Nikon）Eclipse Ti显微镜上。采集频率设置为5 Hz，对应两次连续采集之间的平面内平均位移为4~6个像素。本压缩包包含原始图像与用于开展相关实验的MATLAB脚本，依托该脚本可在黑尔-肖流室（Hele-Shaw cell）中仅通过流体动力驱动，实现任意粒子的选取与捕获。