Choosing a polarisation configuration for dynamic light scattering and laser speckle contrast imaging.


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 Jan 2024
Historique:
received: 02 10 2023
revised: 06 12 2023
accepted: 12 12 2023
medline: 15 1 2024
pubmed: 15 1 2024
entrez: 15 1 2024
Statut: epublish

Résumé

Laser speckle contrast imaging (LSCI) is applied in various biomedical applications for full-field characterization of blood flow and tissue perfusion. The accuracy of the contrast interpretation and its conversion to the blood flow index depends on specific parameters of the optical system and scattering media. One such parameter is the polarisation of detected light, which is often adjusted to minimize specular reflections and image artefacts. The polarisation's effect on the detected light scattering dynamics and, therefore, the accuracy of LSCI data interpretation requires more detailed investigation. In this study, we used LSCI and Dynamic Light Scattering Imaging to evaluate the effects of the detected light polarisation when imaging perfusion in the mouse cortex. We found that cross-polarisation results in a shorter decorrelation time constant, a higher coherence degree and stronger dynamic scattering compared to the parallel-polarisation or no-polariser configurations. These results support the cross-polarisation configuration as the most optimal for brain cortex imaging and suggest against direct or calibrated comparisons between the contrast recordings made with different polarisation configurations.

Identifiants

pubmed: 38223196
doi: 10.1364/BOE.507367
pii: 507367
pmc: PMC10783896
doi:

Types de publication

Journal Article

Langues

eng

Pagination

336-345

Informations de copyright

© 2023 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.

Auteurs

Sonam Akther (S)

Aarhus University, Department of Clinical Medicine, Aarhus, 8200, Denmark.

Markus B Mikkelsen (MB)

Aarhus University, Department of Clinical Medicine, Aarhus, 8200, Denmark.

Dmitry D Postnov (DD)

Aarhus University, Department of Clinical Medicine, Aarhus, 8200, Denmark.

Classifications MeSH