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

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Mangiarotti,  Agustín       
Rumiana Dimova, Nachhaltige und Bio-inspirierte Materialien, Max Planck Institute of Colloids and Interfaces, Max Planck Society;

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Dimova,  Rumiana       
Rumiana Dimova, Nachhaltige und Bio-inspirierte Materialien, Max Planck Institute of Colloids and Interfaces, Max Planck Society;

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Citation

Mangiarotti, A., & Dimova, R. (2024). The spectral phasor approach to resolving membrane order with environmentally sensitive dyes. In T. Baumgart, & M. Deserno (Eds.), Methods in Enzymology (pp. 105-126). Academic Press. doi:10.1016/bs.mie.2024.01.024.


Cite as: https://hdl.handle.net/21.11116/0000-000F-8890-4
Abstract
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.