Multi-scale laser speckle contrast imaging of microcirculatory vasoreactivity.


Journal

Biomedical optics express
ISSN: 2156-7085
Titre abrégé: Biomed Opt Express
Pays: United States
ID NLM: 101540630

Informations de publication

Date de publication:
01 Apr 2022
Historique:
received: 07 01 2022
revised: 07 03 2022
accepted: 08 03 2022
entrez: 6 5 2022
pubmed: 7 5 2022
medline: 7 5 2022
Statut: epublish

Résumé

Laser speckle contrast imaging is a robust and versatile blood flow imaging tool in basic and clinical research for its relatively simple construction and ease of customization. One of its key features is the scalability of the imaged field of view. With minimal changes to the system or analysis, laser speckle contrast imaging allows for high-resolution blood flow imaging through cranial windows or low-resolution perfusion visualization of perfusion over large areas, e.g. in human skin. We further utilize this feature and introduce a multi-scale laser speckle contrast imaging system, which we apply to study vasoreactivity in renal microcirculation. We combine high resolution (small field of view) to segment blood flow in individual vessels with low resolution (large field of view) to monitor global blood flow changes across the renal surface. Furthermore, we compare their performance when analyzing blood flow dynamics potentially associated with a single nephron and show that the previously published approaches, based on low-zoom imaging alone, provide inaccurate results in such applications.

Identifiants

pubmed: 35519248
doi: 10.1364/BOE.451014
pii: 451014
pmc: PMC9045893
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2312-2322

Informations de copyright

© 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

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Auteurs

Blaire Lee (B)

Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Olga Sosnovtseva (O)

Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Charlotte M Sørensen (CM)

Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Dmitry D Postnov (DD)

Department of Neuroscience, Aarhus University, Aarhus, Denmark.

Classifications MeSH