A tessellation-based colocalization analysis approach for single-molecule localization microscopy

Florian Levet, Guillaume Julien, Rémi Galland, Corey Butler, Anne Beghin, Anaël Chazeau, Philipp Hoess, Jonas Ries, Grégory Giannone and Jean-Baptiste Sibarita ()
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Florian Levet: University of Bordeaux
Guillaume Julien: University of Bordeaux
Rémi Galland: University of Bordeaux
Corey Butler: University of Bordeaux
Anne Beghin: University of Bordeaux
Anaël Chazeau: University of Bordeaux
Philipp Hoess: European Molecular Biology Laboratory (EMBL)
Jonas Ries: European Molecular Biology Laboratory (EMBL)
Grégory Giannone: University of Bordeaux
Jean-Baptiste Sibarita: University of Bordeaux

Nature Communications, 2019, vol. 10, issue 1, 1-12

Abstract: Abstract Multicolor single-molecule localization microscopy (λSMLM) is a powerful technique to reveal the relative nanoscale organization and potential colocalization between different molecular species. While several standard analysis methods exist for pixel-based images, λSMLM still lacks such a standard. Moreover, existing methods only work on 2D data and are usually sensitive to the relative molecular organization, a very important parameter to consider in quantitative SMLM. Here, we present an efficient, parameter-free colocalization analysis method for 2D and 3D λSMLM using tessellation analysis. We demonstrate that our method allows for the efficient computation of several popular colocalization estimators directly from molecular coordinates and illustrate its capability to analyze multicolor SMLM data in a robust and efficient manner.

Date: 2019
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DOI: 10.1038/s41467-019-10007-4

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