The spectral phasor approach to resolving membrane order with environmentally sensitive dyes.


Journal

Methods in enzymology
ISSN: 1557-7988
Titre abrégé: Methods Enzymol
Pays: United States
ID NLM: 0212271

Informations de publication

Date de publication:
2024
Historique:
medline: 7 7 2024
pubmed: 7 7 2024
entrez: 6 7 2024
Statut: ppublish

Résumé

Hyperspectral imaging is a technique that captures a three-dimensional array of spectral information at each spatial location within a sample, enabling precise characterization and discrimination of biological structures, materials, and chemicals, based on their unique spectral features. Nowadays most commercially available confocal microscopes allow hyperspectral imaging measurements, providing a valuable source of spatially resolved spectroscopic data. Spectral phasor analysis quantitatively and graphically transforms the fluorescence spectra at each pixel of a hyperspectral image into points in a polar plot, offering a visual representation of the spectral characteristics of fluorophores within the sample. Combining the use of environmentally sensitive dyes with phasor analysis of hyperspectral images provides a powerful tool for measuring small changes in lateral membrane heterogeneity. Here, we focus on applications of spectral phasor analysis for the probe LAURDAN on model membranes to resolve packing and hydration. The method is broadly applicable to other dyes and to complex systems such as cell membranes.

Identifiants

pubmed: 38971597
pii: S0076-6879(24)00027-2
doi: 10.1016/bs.mie.2024.01.024
pii:
doi:

Substances chimiques

Fluorescent Dyes 0
laurdan Y97FBL93VW
Laurates 0
2-Naphthylamine CKR7XL41N4
Lipid Bilayers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105-126

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Agustín Mangiarotti (A)

Max Planck Institute of Colloids and Interfaces, Science Park Golm, Potsdam, Germany. Electronic address: Mangiarotti@mpikg.mpg.de.

Rumiana Dimova (R)

Max Planck Institute of Colloids and Interfaces, Science Park Golm, Potsdam, Germany. Electronic address: Dimova@mpikg.mpg.de.

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Classifications MeSH