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.

本研究的目标为提出一种微流控方案，以实现微流控装置内流体中粒子运动轨迹的动态调控。本方案融合三大核心环节：其一为可操控流体流线的流通式微流控流池设计；其二为用于求解先验最优粒子轨迹的优化流程；其三为基于比例-积分-微分（Proportion-Integral-Derivative, PID）的反馈控制器，可实现粒子操控的实时调控。实验原始图像由sCMOS相机（PCO）采集，该相机像素间距为6.5 μm。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，对应两次连续采集之间的平面内平均位移为4~6个像素。本次提供的压缩包包含原始图像，以及用于开展"任意选取粒子并仅通过流体动力在赫勒-肖（Hele-Shaw）流池内实现粒子捕获"实验的MATLAB脚本。