Mapping molecular assemblies with fluorescence microscopy and object-based spatial statistics

Elucidating molecular organisation requires precise localisation and analysis. Here the authors develop SODA software for automatic and quantitative mapping of statistically coupled molecules, and use it to unravel spatial organisation of thousands of synaptic proteins in SIM and 3DSTORM microscopy.

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Autores principales:	Thibault Lagache, Alexandre Grassart, Stéphane Dallongeville, Orestis Faklaris, Nathalie Sauvonnet, Alexandre Dufour, Lydia Danglot, Jean-Christophe Olivo-Marin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/c72243110cc94c5f96e08005bd345ee6
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spelling	oai:doaj.org-article:c72243110cc94c5f96e08005bd345ee62021-12-02T16:56:36ZMapping molecular assemblies with fluorescence microscopy and object-based spatial statistics10.1038/s41467-018-03053-x2041-1723https://doaj.org/article/c72243110cc94c5f96e08005bd345ee62018-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-03053-xhttps://doaj.org/toc/2041-1723Elucidating molecular organisation requires precise localisation and analysis. Here the authors develop SODA software for automatic and quantitative mapping of statistically coupled molecules, and use it to unravel spatial organisation of thousands of synaptic proteins in SIM and 3DSTORM microscopy.Thibault LagacheAlexandre GrassartStéphane DallongevilleOrestis FaklarisNathalie SauvonnetAlexandre DufourLydia DanglotJean-Christophe Olivo-MarinNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-15 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Thibault Lagache Alexandre Grassart Stéphane Dallongeville Orestis Faklaris Nathalie Sauvonnet Alexandre Dufour Lydia Danglot Jean-Christophe Olivo-Marin Mapping molecular assemblies with fluorescence microscopy and object-based spatial statistics
description	Elucidating molecular organisation requires precise localisation and analysis. Here the authors develop SODA software for automatic and quantitative mapping of statistically coupled molecules, and use it to unravel spatial organisation of thousands of synaptic proteins in SIM and 3DSTORM microscopy.
format	article
author	Thibault Lagache Alexandre Grassart Stéphane Dallongeville Orestis Faklaris Nathalie Sauvonnet Alexandre Dufour Lydia Danglot Jean-Christophe Olivo-Marin
author_facet	Thibault Lagache Alexandre Grassart Stéphane Dallongeville Orestis Faklaris Nathalie Sauvonnet Alexandre Dufour Lydia Danglot Jean-Christophe Olivo-Marin
author_sort	Thibault Lagache
title	Mapping molecular assemblies with fluorescence microscopy and object-based spatial statistics
title_short	Mapping molecular assemblies with fluorescence microscopy and object-based spatial statistics
title_full	Mapping molecular assemblies with fluorescence microscopy and object-based spatial statistics
title_fullStr	Mapping molecular assemblies with fluorescence microscopy and object-based spatial statistics
title_full_unstemmed	Mapping molecular assemblies with fluorescence microscopy and object-based spatial statistics
title_sort	mapping molecular assemblies with fluorescence microscopy and object-based spatial statistics
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/c72243110cc94c5f96e08005bd345ee6
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Mapping molecular assemblies with fluorescence microscopy and object-based spatial statistics

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