An interactive ImageJ plugin for semi-automated image denoising in electron microscopy

Large 3D electron microscopy data sets frequently contain noisy data due to accelerated imaging, and denoising techniques require specialised skill sets. Here the authors introduce DenoisEM, an ImageJ plugin that democratises denoising EM data sets, enabling fast parameter tuning and processing thro...

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Autores principales:	Joris Roels, Frank Vernaillen, Anna Kremer, Amanda Gonçalves, Jan Aelterman, Hiêp Q. Luong, Bart Goossens, Wilfried Philips, Saskia Lippens, Yvan Saeys
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/f017d27164324c11a77f3a68f98b1af1
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id	oai:doaj.org-article:f017d27164324c11a77f3a68f98b1af1
record_format	dspace
spelling	oai:doaj.org-article:f017d27164324c11a77f3a68f98b1af12021-12-02T14:40:39ZAn interactive ImageJ plugin for semi-automated image denoising in electron microscopy10.1038/s41467-020-14529-02041-1723https://doaj.org/article/f017d27164324c11a77f3a68f98b1af12020-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-14529-0https://doaj.org/toc/2041-1723Large 3D electron microscopy data sets frequently contain noisy data due to accelerated imaging, and denoising techniques require specialised skill sets. Here the authors introduce DenoisEM, an ImageJ plugin that democratises denoising EM data sets, enabling fast parameter tuning and processing through parallel computing.Joris RoelsFrank VernaillenAnna KremerAmanda GonçalvesJan AeltermanHiêp Q. LuongBart GoossensWilfried PhilipsSaskia LippensYvan SaeysNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Joris Roels Frank Vernaillen Anna Kremer Amanda Gonçalves Jan Aelterman Hiêp Q. Luong Bart Goossens Wilfried Philips Saskia Lippens Yvan Saeys An interactive ImageJ plugin for semi-automated image denoising in electron microscopy
description	Large 3D electron microscopy data sets frequently contain noisy data due to accelerated imaging, and denoising techniques require specialised skill sets. Here the authors introduce DenoisEM, an ImageJ plugin that democratises denoising EM data sets, enabling fast parameter tuning and processing through parallel computing.
format	article
author	Joris Roels Frank Vernaillen Anna Kremer Amanda Gonçalves Jan Aelterman Hiêp Q. Luong Bart Goossens Wilfried Philips Saskia Lippens Yvan Saeys
author_facet	Joris Roels Frank Vernaillen Anna Kremer Amanda Gonçalves Jan Aelterman Hiêp Q. Luong Bart Goossens Wilfried Philips Saskia Lippens Yvan Saeys
author_sort	Joris Roels
title	An interactive ImageJ plugin for semi-automated image denoising in electron microscopy
title_short	An interactive ImageJ plugin for semi-automated image denoising in electron microscopy
title_full	An interactive ImageJ plugin for semi-automated image denoising in electron microscopy
title_fullStr	An interactive ImageJ plugin for semi-automated image denoising in electron microscopy
title_full_unstemmed	An interactive ImageJ plugin for semi-automated image denoising in electron microscopy
title_sort	interactive imagej plugin for semi-automated image denoising in electron microscopy
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/f017d27164324c11a77f3a68f98b1af1
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An interactive ImageJ plugin for semi-automated image denoising in electron microscopy

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