Pre-processing visualization of hyperspectral fluorescent data with Spectrally Encoded Enhanced Representations

Spectral phasor analysis allows unmixing fluorescence microscopy images, but it requires user involvement and has a limited number of labels that can be analyzed and displayed. Here the authors present a semi-automated solution to visualise multiple spectral components of hyperspectral fluorescence...

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Autores principales:	Wen Shi, Daniel E. S. Koo, Masahiro Kitano, Hsiao J. Chiang, Le A. Trinh, Gianluca Turcatel, Benjamin Steventon, Cosimo Arnesano, David Warburton, Scott E. Fraser, Francesco Cutrale
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/f2fd3e48a18b4f268ef5c9595066fca4
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spelling	oai:doaj.org-article:f2fd3e48a18b4f268ef5c9595066fca42021-12-02T14:41:12ZPre-processing visualization of hyperspectral fluorescent data with Spectrally Encoded Enhanced Representations10.1038/s41467-020-14486-82041-1723https://doaj.org/article/f2fd3e48a18b4f268ef5c9595066fca42020-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-14486-8https://doaj.org/toc/2041-1723Spectral phasor analysis allows unmixing fluorescence microscopy images, but it requires user involvement and has a limited number of labels that can be analyzed and displayed. Here the authors present a semi-automated solution to visualise multiple spectral components of hyperspectral fluorescence images, simultaneously.Wen ShiDaniel E. S. KooMasahiro KitanoHsiao J. ChiangLe A. TrinhGianluca TurcatelBenjamin SteventonCosimo ArnesanoDavid WarburtonScott E. FraserFrancesco CutraleNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Wen Shi Daniel E. S. Koo Masahiro Kitano Hsiao J. Chiang Le A. Trinh Gianluca Turcatel Benjamin Steventon Cosimo Arnesano David Warburton Scott E. Fraser Francesco Cutrale Pre-processing visualization of hyperspectral fluorescent data with Spectrally Encoded Enhanced Representations
description	Spectral phasor analysis allows unmixing fluorescence microscopy images, but it requires user involvement and has a limited number of labels that can be analyzed and displayed. Here the authors present a semi-automated solution to visualise multiple spectral components of hyperspectral fluorescence images, simultaneously.
format	article
author	Wen Shi Daniel E. S. Koo Masahiro Kitano Hsiao J. Chiang Le A. Trinh Gianluca Turcatel Benjamin Steventon Cosimo Arnesano David Warburton Scott E. Fraser Francesco Cutrale
author_facet	Wen Shi Daniel E. S. Koo Masahiro Kitano Hsiao J. Chiang Le A. Trinh Gianluca Turcatel Benjamin Steventon Cosimo Arnesano David Warburton Scott E. Fraser Francesco Cutrale
author_sort	Wen Shi
title	Pre-processing visualization of hyperspectral fluorescent data with Spectrally Encoded Enhanced Representations
title_short	Pre-processing visualization of hyperspectral fluorescent data with Spectrally Encoded Enhanced Representations
title_full	Pre-processing visualization of hyperspectral fluorescent data with Spectrally Encoded Enhanced Representations
title_fullStr	Pre-processing visualization of hyperspectral fluorescent data with Spectrally Encoded Enhanced Representations
title_full_unstemmed	Pre-processing visualization of hyperspectral fluorescent data with Spectrally Encoded Enhanced Representations
title_sort	pre-processing visualization of hyperspectral fluorescent data with spectrally encoded enhanced representations
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/f2fd3e48a18b4f268ef5c9595066fca4
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Pre-processing visualization of hyperspectral fluorescent data with Spectrally Encoded Enhanced Representations

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