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dc.contributor.authorShi, Wen
dc.contributor.authorKoo, Daniel E S
dc.contributor.authorKitano, Masahiro
dc.contributor.authorChiang, Hsiao J
dc.contributor.authorTrinh, Le A
dc.contributor.authorTurcatel, Gianluca
dc.contributor.authorSteventon, Benjamin
dc.contributor.authorArnesano, Cosimo
dc.contributor.authorWarburton, David
dc.contributor.authorFraser, Scott E
dc.contributor.authorCutrale, Francesco
dc.date.accessioned2020-03-10T09:36:08Z
dc.date.available2020-03-10T09:36:08Z
dc.date.issued2020-02-05
dc.identifier.issn2041-1723
dc.identifier.otherPMC7002680
dc.identifier.other32024828
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/303249
dc.description.abstractHyperspectral fluorescence imaging is gaining popularity for it enables multiplexing of spatio-temporal dynamics across scales for molecules, cells and tissues with multiple fluorescent labels. This is made possible by adding the dimension of wavelength to the dataset. The resulting datasets are high in information density and often require lengthy analyses to separate the overlapping fluorescent spectra. Understanding and visualizing these large multi-dimensional datasets during acquisition and pre-processing can be challenging. Here we present Spectrally Encoded Enhanced Representations (SEER), an approach for improved and computationally efficient simultaneous color visualization of multiple spectral components of hyperspectral fluorescence images. Exploiting the mathematical properties of the phasor method, we transform the wavelength space into information-rich color maps for RGB display visualization. We present multiple biological fluorescent samples and highlight SEER's enhancement of specific and subtle spectral differences, providing a fast, intuitive and mathematical way to interpret hyperspectral images during collection, pre-processing and analysis.
dc.languageeng
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceessn: 2041-1723
dc.sourcenlmid: 101528555
dc.titlePre-processing visualization of hyperspectral fluorescent data with Spectrally Encoded Enhanced Representations.
dc.typeArticle
dc.date.updated2020-03-10T09:36:07Z
prism.issueIdentifier1
prism.publicationNameNature communications
prism.volume11
dc.identifier.doi10.17863/CAM.50328
rioxxterms.versionofrecord10.1038/s41467-020-14486-8
rioxxterms.versionVoR
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidShi, Wen [0000-0002-6624-2331]
dc.contributor.orcidFraser, Scott E [0000-0002-5377-0223]
dc.contributor.orcidCutrale, Francesco [0000-0003-0517-3069]
pubs.funder-project-idU.S. Department of Defense (United States Department of Defense) (PR150666)


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International