A Review of Planar PIV Systems and Image Processing Tools for Lab-On-Chip Microfluidics

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 mi...

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Main Authors: Fahrettin Gökhan Ergin, Bo Beltoft Watz, Nicolai Fog Gade-Nielsen
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/18/9/3090
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author Fahrettin Gökhan Ergin
Bo Beltoft Watz
Nicolai Fog Gade-Nielsen
author_facet Fahrettin Gökhan Ergin
Bo Beltoft Watz
Nicolai Fog Gade-Nielsen
author_sort Fahrettin Gökhan Ergin
collection DOAJ
description 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.
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spelling doaj.art-f2cefdb572ac4129858143bafa84c62f2022-12-22T02:56:47ZengMDPI AGSensors1424-82202018-09-01189309010.3390/s18093090s18093090A Review of Planar PIV Systems and Image Processing Tools for Lab-On-Chip MicrofluidicsFahrettin Gökhan Ergin0Bo Beltoft Watz1Nicolai Fog Gade-Nielsen2Product Management, Dantec Dynamics A/S, DK-2740 Skovlunde, DenmarkSoftware Development, Dantec Dynamics A/S, DK-2740 Skovlunde, DenmarkSoftware Development, Dantec Dynamics A/S, DK-2740 Skovlunde, DenmarkImage-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.http://www.mdpi.com/1424-8220/18/9/3090micromixersmicro-droplet generationbio-microfluidicsphase boundary detectionrigid object stabilizationdynamic maskingphase separated µPIVstereoscopic µPIV
spellingShingle Fahrettin Gökhan Ergin
Bo Beltoft Watz
Nicolai Fog Gade-Nielsen
A Review of Planar PIV Systems and Image Processing Tools for Lab-On-Chip Microfluidics
Sensors
micromixers
micro-droplet generation
bio-microfluidics
phase boundary detection
rigid object stabilization
dynamic masking
phase separated µPIV
stereoscopic µPIV
title A Review of Planar PIV Systems and Image Processing Tools for Lab-On-Chip Microfluidics
title_full A Review of Planar PIV Systems and Image Processing Tools for Lab-On-Chip Microfluidics
title_fullStr A Review of Planar PIV Systems and Image Processing Tools for Lab-On-Chip Microfluidics
title_full_unstemmed A Review of Planar PIV Systems and Image Processing Tools for Lab-On-Chip Microfluidics
title_short A Review of Planar PIV Systems and Image Processing Tools for Lab-On-Chip Microfluidics
title_sort review of planar piv systems and image processing tools for lab on chip microfluidics
topic micromixers
micro-droplet generation
bio-microfluidics
phase boundary detection
rigid object stabilization
dynamic masking
phase separated µPIV
stereoscopic µPIV
url http://www.mdpi.com/1424-8220/18/9/3090
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