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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165422/ https://www.ncbi.nlm.nih.gov/pubmed/30217102 http://dx.doi.org/10.3390/s18093090 |
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author | Ergin, Fahrettin Gökhan Watz, Bo Beltoft Gade-Nielsen, Nicolai Fog |
author_facet | Ergin, Fahrettin Gökhan Watz, Bo Beltoft Gade-Nielsen, Nicolai Fog |
author_sort | Ergin, Fahrettin Gökhan |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-6165422 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61654222018-10-10 A Review of Planar PIV Systems and Image Processing Tools for Lab-On-Chip Microfluidics Ergin, Fahrettin Gökhan Watz, Bo Beltoft Gade-Nielsen, Nicolai Fog Sensors (Basel) Review 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. MDPI 2018-09-13 /pmc/articles/PMC6165422/ /pubmed/30217102 http://dx.doi.org/10.3390/s18093090 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Ergin, Fahrettin Gökhan Watz, Bo Beltoft Gade-Nielsen, Nicolai Fog A Review of Planar PIV Systems and Image Processing Tools for Lab-On-Chip Microfluidics |
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 | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165422/ https://www.ncbi.nlm.nih.gov/pubmed/30217102 http://dx.doi.org/10.3390/s18093090 |
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