Cargando…
Image-Based Experimental Measurement Techniques to Characterize Velocity Fields in Blood Microflows
Predicting blood microflow in both simple and complex geometries is challenging because of the composition and behavior of the blood at microscale. However, characterization of the velocity in microchannels is the key for gaining insights into cellular interactions at the microscale, mechanisms of d...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9099138/ https://www.ncbi.nlm.nih.gov/pubmed/35574441 http://dx.doi.org/10.3389/fphys.2022.886675 |
_version_ | 1784706537280765952 |
---|---|
author | Le, Andy Vinh Fenech, Marianne |
author_facet | Le, Andy Vinh Fenech, Marianne |
author_sort | Le, Andy Vinh |
collection | PubMed |
description | Predicting blood microflow in both simple and complex geometries is challenging because of the composition and behavior of the blood at microscale. However, characterization of the velocity in microchannels is the key for gaining insights into cellular interactions at the microscale, mechanisms of diseases, and efficacy of therapeutic solutions. Image-based measurement techniques are a subset of methods for measuring the local flow velocity that typically utilize tracer particles for flow visualization. In the most basic form, a high-speed camera and microscope setup are the only requirements for data acquisition; however, the development of image processing algorithms and equipment has made current image-based techniques more sophisticated. This mini review aims to provide a succinct and accessible overview of image-based experimental measurement techniques to characterize the velocity field of blood microflow. The following techniques are introduced: cell tracking velocimetry, kymographs, micro-particle velocimetry, and dual-slit photometry as entry techniques for measuring various velocity fields either in vivo or in vitro. |
format | Online Article Text |
id | pubmed-9099138 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90991382022-05-14 Image-Based Experimental Measurement Techniques to Characterize Velocity Fields in Blood Microflows Le, Andy Vinh Fenech, Marianne Front Physiol Physiology Predicting blood microflow in both simple and complex geometries is challenging because of the composition and behavior of the blood at microscale. However, characterization of the velocity in microchannels is the key for gaining insights into cellular interactions at the microscale, mechanisms of diseases, and efficacy of therapeutic solutions. Image-based measurement techniques are a subset of methods for measuring the local flow velocity that typically utilize tracer particles for flow visualization. In the most basic form, a high-speed camera and microscope setup are the only requirements for data acquisition; however, the development of image processing algorithms and equipment has made current image-based techniques more sophisticated. This mini review aims to provide a succinct and accessible overview of image-based experimental measurement techniques to characterize the velocity field of blood microflow. The following techniques are introduced: cell tracking velocimetry, kymographs, micro-particle velocimetry, and dual-slit photometry as entry techniques for measuring various velocity fields either in vivo or in vitro. Frontiers Media S.A. 2022-04-29 /pmc/articles/PMC9099138/ /pubmed/35574441 http://dx.doi.org/10.3389/fphys.2022.886675 Text en Copyright © 2022 Le and Fenech. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Le, Andy Vinh Fenech, Marianne Image-Based Experimental Measurement Techniques to Characterize Velocity Fields in Blood Microflows |
title | Image-Based Experimental Measurement Techniques to Characterize Velocity Fields in Blood Microflows |
title_full | Image-Based Experimental Measurement Techniques to Characterize Velocity Fields in Blood Microflows |
title_fullStr | Image-Based Experimental Measurement Techniques to Characterize Velocity Fields in Blood Microflows |
title_full_unstemmed | Image-Based Experimental Measurement Techniques to Characterize Velocity Fields in Blood Microflows |
title_short | Image-Based Experimental Measurement Techniques to Characterize Velocity Fields in Blood Microflows |
title_sort | image-based experimental measurement techniques to characterize velocity fields in blood microflows |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9099138/ https://www.ncbi.nlm.nih.gov/pubmed/35574441 http://dx.doi.org/10.3389/fphys.2022.886675 |
work_keys_str_mv | AT leandyvinh imagebasedexperimentalmeasurementtechniquestocharacterizevelocityfieldsinbloodmicroflows AT fenechmarianne imagebasedexperimentalmeasurementtechniquestocharacterizevelocityfieldsinbloodmicroflows |