Introduction

Localization-based super-resolution techniques open the door to unprecedented analysis of molecular organization. This task often involves complex image processing adapted to the specific topology and quality of the image to be analyzed. Here we present a segmentation framework based on Voronoï tessellation constructed from the coordinates of localized molecules, implemented in freely available and open-source SR-Tesseler software. This method allows precise, robust and automatic quantification of protein organization at different scales, from the cellular level down to clusters of a few fluorescent markers. We validated our method on simulated data and on various biological experimental data of proteins labeled with genetically encoded fluorescent proteins or organic fluorophores. In addition to providing insight into complex protein organization, this polygon-based method should serve as a reference for the development of new types of quantifications, as well as for the optimization of existing ones.

Publications

  1. SR-Tesseler: a method to segment and quantify localization-based super-resolution microscopy data.
    Cite this
    Levet F, Hosy E, Kechkar A, Butler C, Beghin A, Choquet D, Sibarita JB, 2015-11-01 - Nature methods

Credits

  1. Florian Levet
    Developer

    Bordeaux Imaging Center, INSERM US04, France

  2. Eric Hosy
    Developer

    Interdisciplinary Institute for Neuroscience, Centre National de la Recherche Scientifique (CNRS) UMR 5297, France

  3. Adel Kechkar
    Developer

    Ecole Nationale Supérieure de Biotechnologie, Constantine, Algeria

  4. Corey Butler
    Developer

    Imagine Optic, Orsay, France

  5. Anne Beghin
    Developer

    Interdisciplinary Institute for Neuroscience, Centre National de la Recherche Scientifique (CNRS) UMR 5297, France

  6. Daniel Choquet
    Developer

    Bordeaux Imaging Center, INSERM US04, France

  7. Jean-Baptiste Sibarita
    Investigator

    Interdisciplinary Institute for Neuroscience, Centre National de la Recherche Scientifique (CNRS) UMR 5297, France

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Summary
AccessionBT002884
Tool TypeApplication
Category
PlatformsWindows
TechnologiesC++
User InterfaceTerminal Command Line
Download Count0
Country/RegionFrance
Submitted ByJean-Baptiste Sibarita