Adaptive particle representation of fluorescence microscopy images

Modern microscopes can generate high volumes of 3D images, driving difficulties in data handling and processing. Here, the authors present a content-adaptive image representation as an alternative to standard pixels that goes beyond data compression to overcome storage, memory, and processing bottle...

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Autores principales:	Bevan L. Cheeseman, Ulrik Günther, Krzysztof Gonciarz, Mateusz Susik, Ivo F. Sbalzarini
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/76b3cb7eac1b4e3ca9f1de3e9da886cb
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id	oai:doaj.org-article:76b3cb7eac1b4e3ca9f1de3e9da886cb
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spelling	oai:doaj.org-article:76b3cb7eac1b4e3ca9f1de3e9da886cb2021-12-02T15:34:00ZAdaptive particle representation of fluorescence microscopy images10.1038/s41467-018-07390-92041-1723https://doaj.org/article/76b3cb7eac1b4e3ca9f1de3e9da886cb2018-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-07390-9https://doaj.org/toc/2041-1723Modern microscopes can generate high volumes of 3D images, driving difficulties in data handling and processing. Here, the authors present a content-adaptive image representation as an alternative to standard pixels that goes beyond data compression to overcome storage, memory, and processing bottlenecks.Bevan L. CheesemanUlrik GüntherKrzysztof GonciarzMateusz SusikIvo F. SbalzariniNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Bevan L. Cheeseman Ulrik Günther Krzysztof Gonciarz Mateusz Susik Ivo F. Sbalzarini Adaptive particle representation of fluorescence microscopy images
description	Modern microscopes can generate high volumes of 3D images, driving difficulties in data handling and processing. Here, the authors present a content-adaptive image representation as an alternative to standard pixels that goes beyond data compression to overcome storage, memory, and processing bottlenecks.
format	article
author	Bevan L. Cheeseman Ulrik Günther Krzysztof Gonciarz Mateusz Susik Ivo F. Sbalzarini
author_facet	Bevan L. Cheeseman Ulrik Günther Krzysztof Gonciarz Mateusz Susik Ivo F. Sbalzarini
author_sort	Bevan L. Cheeseman
title	Adaptive particle representation of fluorescence microscopy images
title_short	Adaptive particle representation of fluorescence microscopy images
title_full	Adaptive particle representation of fluorescence microscopy images
title_fullStr	Adaptive particle representation of fluorescence microscopy images
title_full_unstemmed	Adaptive particle representation of fluorescence microscopy images
title_sort	adaptive particle representation of fluorescence microscopy images
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/76b3cb7eac1b4e3ca9f1de3e9da886cb
work_keys_str_mv	AT bevanlcheeseman adaptiveparticlerepresentationoffluorescencemicroscopyimages AT ulrikgunther adaptiveparticlerepresentationoffluorescencemicroscopyimages AT krzysztofgonciarz adaptiveparticlerepresentationoffluorescencemicroscopyimages AT mateuszsusik adaptiveparticlerepresentationoffluorescencemicroscopyimages AT ivofsbalzarini adaptiveparticlerepresentationoffluorescencemicroscopyimages
_version_	1718386969450381312

Adaptive particle representation of fluorescence microscopy images

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