Data underlying the research on particle manipulation using hydrodynamic forcing, using a-priori particle manipulation algorithm and without Proportional-Integration-Derivative (PID) control.

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 the design of a flow-through microfluidic flow cell with the ability to manipulate the streamlines of the flow and an optimization procedure to find a priori optimal particle path-lines. 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 of the following experiments by using hydrodynamic forcing only: 1. Single particle deflection upward 2. Single particle deflection downward 3. Single particle trap 4. Two particles separation 5. Two particles coming closer to eachother 6. Two particles interchanging their position

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轨迹的动态调控。本方案将流通式微流控流动池的设计、流场流线操控能力，与用于先验优化粒子轨迹的优化流程相结合。实验原始图像由像素间距为6.5μm的sCMOS相机（sCMOS camera，PCO）采集。该相机搭载于配备1×物镜的尼康（Nikon）Eclipse Ti显微镜上。采集帧率为5Hz，对应两次连续采集间的平面内平均位移为4至6个像素。本次压缩包包含仅采用流体动力驱动的下述实验的原始图像与MATLAB脚本：1. 单颗粒向上偏转 2. 单颗粒向下偏转 3. 单颗粒捕获 4. 双粒子分离 5. 双粒子相互靠近 6. 双粒子交换位置