Micro-particle image velocimetry for blood flow in thick round glass micro-channels: Channel fabrication and velocity profile characterization.

Blood flow Channel fabrication Glycerol Hemodynamics Micro-particle image velocimetry Performing and analyzing micro-particle image velocimetry for blood flow in thick round glass micro-channels. Red blood cells Thick round glass micro-channels Velocity profile characterization Velocity profiles

Journal

MethodsX
ISSN: 2215-0161
Titre abrégé: MethodsX
Pays: Netherlands
ID NLM: 101639829

Informations de publication

Date de publication:
2023
Historique:
received: 20 12 2022
accepted: 03 03 2023
medline: 4 4 2023
entrez: 3 4 2023
pubmed: 4 4 2023
Statut: epublish

Résumé

This method describes the use of thick round borosilicate glass micro-channels for blood flow visualization using micro-particle image velocimetry (µPIV) techniques. In contrast with popular methods using squared polydimethylsiloxane channels, this method allows for visualization of blood flow in channel geometries that resemble more the natural physiology of human blood vessels. With a custom designed enclosure, the microchannels were submerged in glycerol to reduce light refraction occurring during µPIV due to the thick walls of the glass channels. A method is proposed to correct the extracted velocity profiles from the µPIV to account for out-of-focus error. The customized elements of this method include: • The use of thick circular glass micro-channels, • a custom designed mounting solution for the channels on a glass slide for flow visualization, • a MATLAB code to correct velocity profile accounting for out-of-focus error.

Identifiants

pubmed: 37007623
doi: 10.1016/j.mex.2023.102110
pii: S2215-0161(23)00112-7
pmc: PMC10060170
doi:

Types de publication

Journal Article

Langues

eng

Pagination

102110

Informations de copyright

© 2023 The Authors. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Camille Chartrand (C)

Department of Mechanical Engineering, University of Ottawa, Canada.

Andy Vinh Le (AV)

Department of Mechanical Engineering, University of Ottawa, Canada.
Centre de Biochimie Structurale, CNRS UMR 5048-INSERM UMR 1054, University of Montpellier, 34090 Montpellier, France.

Marianne Fenech (M)

Department of Mechanical Engineering, University of Ottawa, Canada.

Classifications MeSH