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Functional imaging through scattering medium via fluorescence speckle demixing and localization.
Soldevila, F; Moretti, C; Nöbauer, T; Sarafraz, H; Vaziri, A; Gigan, S.
Afiliación
  • Soldevila F; Laboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, College de France, 24 Rue Lhomond, F-75005 Paris, France.
  • Moretti C; Laboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, College de France, 24 Rue Lhomond, F-75005 Paris, France.
  • Nöbauer T; Laboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY, USA.
  • Sarafraz H; Laboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY, USA.
  • Vaziri A; Laboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY, USA.
  • Gigan S; The Kavli Neural Systems Institute, The Rockefeller University, New York, NY, USA.
ArXiv ; 2023 Feb 13.
Article en En | MEDLINE | ID: mdl-36824429
ABSTRACT
Recently, fluorescence-based optical techniques have emerged as a powerful tool to probe information in the mammalian brain. However, tissue heterogeneities prevent clear imaging of deep neuron bodies due to light scattering. While several up-to-date approaches based on ballistic light allow to retrieve information at shallow depths inside the brain, non-invasive localization and functional imaging at depth still remains a challenge. It was recently shown that functional signals from time-varying fluorescent emitters located behind scattering samples could be retrieved by using a matrix factorization algorithm. Here we show that the seemingly information-less, low-contrast fluorescent speckle patterns recovered by the algorithm can be used to locate each individual emitter, even in the presence of background fluorescence. We test our approach by imaging the temporal activity of large groups of fluorescent sources behind different scattering phantoms mimicking biological tissues, and through a brain slice with a thickness of ~200 micron.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ArXiv Año: 2023 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ArXiv Año: 2023 Tipo del documento: Article País de afiliación: Francia
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