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Cell-free layer measurements of in vitro blood flow in a microfluidic network: an automatic and manual approach

dc.contributor.authorBento, David
dc.contributor.authorPereira, Ana I.
dc.contributor.authorLima, José
dc.contributor.authorMiranda, João Mário
dc.contributor.authorLima, Rui A.
dc.date.accessioned2018-04-24T10:48:38Z
dc.date.available2018-04-24T10:48:38Z
dc.date.issued2017
dc.description.abstractIn microcirculation, the cell-free layer (CFL) is a well-known physiological phenomenon that plays an important role in reducing the flow resistance and in balancing nitric oxide (NO) production by endothelial cells and NO scavenging by red blood cells. To better understand this phenomenon, several blood flow studies have been performed in simple geometries at both in vivo and in vitro environments. However, to date little information is available regarding the effects imposed by a complex branching network on the CFL. The present study shows the CFL layer variation at a microchannel network. The images were captured using a high-speed video microscopy system and the thickness of the CFL was measured using both manual and automatic image analysis techniques. Using this methodology, it was possible to visualise the in vitro blood flowing through the network and to identify several flow phenomena that happen in microcirculation. Overall, the results have shown that the concentration of cells and the geometrical configuration of the network have a major impact on the CFL thickness. In particular, the thickness of the CFL decreases as the fluid flows through a microchannel network composed with successive smaller channels. It was also clear that, for the full length of the network, the CFL thickness tends to decrease with the increase of the concentration of cells. The automatic method developed becomes inaccurate for high haematocrit and needs be calibrated by manual methods for Hcts bigger than 10%. The results obtained from this study could help the development and validation of multiscale numerical models able to take into account the CFL for simulating microvascular blood flow.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBento, David; Pereira, Ana I.; Lima, José; Miranda, J. M.; Lima, R. (2017). Cell-free layer measurements of in vitro blood flow in a microfluidic network: an automatic and manual approach. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. ISSN 2168-1163. 6:6, p. 1-9pt_PT
dc.identifier.doi10.1080/21681163.2017.1329029pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/17228
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCell-free layerpt_PT
dc.subjectMicrofluidic networkpt_PT
dc.subjectRed blood cellspt_PT
dc.titleCell-free layer measurements of in vitro blood flow in a microfluidic network: an automatic and manual approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage9pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleComputer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualizationpt_PT
person.familyNamePereira
person.familyNameLima
person.familyNameLima
person.givenNameAna I.
person.givenNameJosé
person.givenNameRui A.
person.identifierR-000-8GD
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.ciencia-id6016-C902-86A9
person.identifier.ciencia-idEE12-C3FB-349D
person.identifier.orcid0000-0003-3803-2043
person.identifier.orcid0000-0001-7902-1207
person.identifier.orcid0000-0003-3428-637X
person.identifier.ridF-3168-2010
person.identifier.ridL-3370-2014
person.identifier.ridH-5157-2016
person.identifier.scopus-author-id15071961600
person.identifier.scopus-author-id55851941311
person.identifier.scopus-author-id18437397800
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicatione9981d62-2a2b-4fef-b75e-c2a14b0e7846
relation.isAuthorOfPublicationd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isAuthorOfPublication7b50c499-8095-4f4f-8b1b-fa7388e4ff62
relation.isAuthorOfPublication.latestForDiscovery7b50c499-8095-4f4f-8b1b-fa7388e4ff62

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