Product Management, Dantec Dynamics A/S, DK-2740 Skovlunde, Denmark.
Software Development, Dantec Dynamics A/S, DK-2740 Skovlunde, Denmark.
Sensors (Basel). 2018 Sep 13;18(9):3090. doi: 10.3390/s18093090.
Image-based sensor systems are quite popular in micro-scale flow investigations due to their flexibility and scalability. The aim of this manuscript is to provide an overview of current technical possibilities for Particle Image Velocimetry (PIV) systems and related image processing tools used in microfluidics applications. In general, the PIV systems and related image processing tools can be used in a myriad of applications, including (but not limited to): Mixing of chemicals, droplet formation, drug delivery, cell counting, cell sorting, cell locomotion, object detection, and object tracking. The intention is to provide some application examples to demonstrate the use of image processing solutions to overcome certain challenges encountered in microfluidics. These solutions are often in the form of image pre- and post-processing techniques, and how to use these will be described briefly in order to extract the relevant information from the raw images. In particular, three main application areas are covered: Micro mixing, droplet formation, and flow around microscopic objects. For each application, a flow field investigation is performed using Micro-Particle Image Velocimetry (µPIV). Both two-component (2C) and three-component (3C) µPIV systems are used to generate the reported results, and a brief description of these systems are included. The results include detailed velocity, concentration and interface measurements for micromixers, phase-separated velocity measurements for the micro-droplet generator, and time-resolved (TR) position, velocity and flow fields around swimming objects. Recommendations on, which technique is more suitable in a given situation are also provided.
基于图像的传感器系统因其灵活性和可扩展性而在微尺度流动研究中非常流行。本文旨在概述用于微流应用的粒子图像测速(PIV)系统和相关图像处理工具的当前技术可能性。一般来说,PIV 系统和相关图像处理工具可用于多种应用,包括(但不限于):化学品混合、液滴形成、药物输送、细胞计数、细胞分类、细胞运动、物体检测和物体跟踪。本文的目的是提供一些应用示例,演示如何使用图像处理解决方案来克服微流中遇到的某些挑战。这些解决方案通常采用图像预处理和后处理技术的形式,为了从原始图像中提取相关信息,将简要描述如何使用这些技术。特别是,涵盖了三个主要的应用领域:微混合、液滴形成和微小物体周围的流动。对于每个应用,都使用微粒子图像测速(µPIV)进行流场研究。报告的结果使用了两组件(2C)和三组件(3C)µPIV 系统生成,并对这些系统进行了简要描述。结果包括微混合器的详细速度、浓度和界面测量、微滴生成器的相分离速度测量以及游泳物体的时变(TR)位置、速度和流场。还提供了在给定情况下哪种技术更适用的建议。