Data underlying the research on particle manipulation using hydrodynamic forcing. This dataset consist of the experimental data of two particles being seperated 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 two particles being seperated by only using the hydrodynamic forcing in a Hele-Shaw cell.本研究的目标为提出一种微流控方法，以实现微流控装置内流体中粒子运动迹线的动态调控。本方法整合三大核心要素：一是设计可调控流体流线的流通式微流控流池；二是构建用于获取先验最优粒子迹线的优化流程；三是搭建基于比例-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相机（PCO）采集，其像素间距为6.5 μm。该相机搭载于尼康（Nikon）Eclipse Ti显微镜，搭配1×物镜。采集频率为5 Hz，对应两次连续采集间的平均面内位移为4至6个像素。本压缩包包含实验原始图像，以及用于开展仅利用赫勒-肖（Hele-Shaw）池内流体动力实现双粒子分离实验的MATLAB脚本。