{"id":20436,"date":"2015-09-23T18:28:39","date_gmt":"2015-09-23T16:28:39","guid":{"rendered":"https:\/\/neurodev-ng.u-bordeaux.fr\/?p=20436"},"modified":"2018-04-04T18:29:07","modified_gmt":"2018-04-04T16:29:07","slug":"f-levet-j-b-sibarita-dans-nature-methods","status":"publish","type":"post","link":"https:\/\/www.bordeaux-neurocampus.fr\/en\/f-levet-j-b-sibarita-dans-nature-methods\/","title":{"rendered":"F. Levet & J-B Sibarita dans Nature Methods<\/em>"},"content":{"rendered":"

SR-Tesseler: a method to segment and quantify localization-based super-resolution microscopy data.\u00a0<\/em><\/strong><\/a>Levet F, Hosy E, Kechkar A, Butler C, Beghin A, Choquet D, Sibarita JB..\u00a0<\/em>Nat Methods. 2015 Sep 7. doi: 10.1038\/nmeth.3579.
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\n<\/span><\/em><\/p>\n

\"\"<\/span> Due to the diffraction of light, the resolution of conventional light microscopy is limited as stated by Ernst Abbe in 1873.<\/strong> Localization-based super-resolution techniques are part of the techniques developed to break this diffraction limit and capture images at a higher resolution.
\nThey revolutionized the quantification of molecular organization by making it possible to monitor fluorescent probes in living cells close to molecular spatial resolution (a few nanometers).
\nDespite its youth, this breakthrough was awarded with the Nobel Prize in Chemistry 2014. However, the analysis of the data acquired with these techniques often involves complex image processing adapted to the specific topology and quality of the image to be analyzed.
\nIn a paper entitled \u201cSR-Tesseler: a method to segment and quantify localization-based super-resolution microscopy data\u201d published Monday 7 of September in Nature Methods, researchers from the IINS in Bordeaux developed a new method packaged as an open-source segmentation software. It allows precise, robust and automatic quantification of protein organization at different scales, from the cellular level down to clusters of a few fluorescent markers.<\/p>\n

SR-Tesseler is insensitive to cell shape, molecular organization, background and noise, allowing comparing efficiently different biological conditions in a non-biased manner, and perform quantifications on various proteins and cell types. SR-Tesseler software comes with a very simple and intuitive graphical user interface, providing direct visual feedback of the results and is freely available under GPLv3 license.<\/p>\n

\"\"<\/a>
\n<\/span>Vorono\u00ef diagram constructed from the localized molecule coordinates. Color of the polygons encodes for the local density computed from the Vorono\u00ef polygons.<\/p>\n

below, click to enlarge…<\/strong><\/em><\/p>\n

\"\"<\/a>
\n<\/span><\/strong><\/em><\/p>\n

A) Diffraction limited fluorescence image of a cultured neuron expressing GluA1-mEOS2. (B) PALM super-resolution image reconstructed from the localized molecule coordinates. (C) Vorono\u00ef diagram constructed from the localized molecule coordinates. Color of the polygons encodes for the local density computed from the Vorono\u00ef polygons. (D) Multi-scale segmentation obtained using SR-Tesseler revealing the cellular contour as well as molecular clusters. \u00a0Read more…<\/a><\/em><\/p>\n

For any question or request, feel free to send a message to: Florian Levet \/ florian.levet@inserm.fr \/Ing\u00e9nieur de Recherche Inserm \/ Bordeaux Imaging Center
\nDerni\u00e8re mise \u00e0 jour le 23.09.2015<\/strong><\/p>\n

1st author<\/h3>\n

\"\"<\/span>Florian Levet
\n<\/strong>Research engineer<\/em>
\nInserm<\/em>
\nflorian.levet(at)inserm.fr<\/em>
\nTeam: Quantitative Imaging of the Cell (JB Sibarita),\u00a0IINS
\nInstitute for Interdisciplinary Neuroscience (D.Choquet)
\nBordeaux Imaging Center, University of Bordeaux, France.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

SR-Tesseler: a method to segment and quantify localization-based super-resolution microscopy data. <\/p>\n","protected":false},"author":108,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[71],"tags":[],"class_list":["post-20436","post","type-post","status-publish","format-standard","hentry","category-highlight-en"],"_links":{"self":[{"href":"https:\/\/www.bordeaux-neurocampus.fr\/en\/wp-json\/wp\/v2\/posts\/20436","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.bordeaux-neurocampus.fr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.bordeaux-neurocampus.fr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.bordeaux-neurocampus.fr\/en\/wp-json\/wp\/v2\/users\/108"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bordeaux-neurocampus.fr\/en\/wp-json\/wp\/v2\/comments?post=20436"}],"version-history":[{"count":0,"href":"https:\/\/www.bordeaux-neurocampus.fr\/en\/wp-json\/wp\/v2\/posts\/20436\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.bordeaux-neurocampus.fr\/en\/wp-json\/wp\/v2\/media?parent=20436"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bordeaux-neurocampus.fr\/en\/wp-json\/wp\/v2\/categories?post=20436"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bordeaux-neurocampus.fr\/en\/wp-json\/wp\/v2\/tags?post=20436"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}