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场中粒子迹线的动态调控。本方案整合了三大核心要素：一是可操控流场流线的流通式微流控流池设计，二是用于获取先验最优粒子迹线的优化流程，三是基于比例-积分-微分（Proportion-Integral-Derivative, PID）的反馈控制器，以实现粒子操控的实时调控。实验原始图像由像素间距为6.5 μm的sCMOS相机（PCO）采集。该相机搭载于尼康Eclipse Ti显微镜上，搭配1×物镜。采集频率设置为5 Hz，对应两次连续采集间的平面平均位移为4~6个像素。本次压缩包包含实验原始图像与用于开展仅依靠流体动力操控实现双粒子分离实验的MATLAB脚本，该实验在赫勒-肖（Hele-Shaw）池中完成。