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Florian Levet’s Homepage

Research engineer
University of Bordeaux
146 Rue Léo Saignat
33076 Bordeaux
florian.levet at
Phone: (+33)5 57 57 56 07

Recent News

2015-09-07: Our paper called "SR-Tesseler: a method to segment and quantify localization-based super-resolution microscopy data" has been accepted for publication in Nature Methods.


After obtaining my PhD in computer vision at the LaBRI in 2006, i worked for several years on diverse segmentation and quantification problems for the Bordeaux Imaging Center. Since 2012, i’m a full-time research engineer in the Quantitative Imaging of the Cell and i’m working extensively on new representation and quantification methods for super-resolution microscopy, with a strong focus on Single-Molecule Localization Microscopy (SMLM).

Past noteworthy projects

  • I have developed an automatic segmentation of capsids acquired in transmission electron microscopy. This work was a combination of several techniques (wavelet filtering, pixel-based skeletonization, graph-based identification) and was implemented as an ImageJ plugin (paper).
  • I implemented a complete visualization and quantification software for analyzing data obtained by the uPAINT during its development. This was a stand-alone software developed in c++.


Since 2012: Research engineer in the Quantitative Imaging of the Cell team (IINS).

2009 - 2011: Research engineer part time in the Quantitative Imaging of the Cell team (IINS) and the Bordeaux Imaging Center (BIC).

2008: Research engineer in the Bordeaux Imaging Center (BIC).

2006: PhD in Computer Graphics called "Modeling and editing 3D objects: from the prototype to the final model".

Since 2012: Bordeaux referent for the work group IPDM (Image Processing and Data Management) of France BioImaging.


Techniques: Wavelets, snakes, Delaunay triangulation, Voronoï diagrams, image processing, skeletonization, curve fitting, etc.
IDE & Software: ImageJ, Imaris, Icy, Fiji, Visual Studio, Emacs, The GiMP, Office, etc.
Languages: C, C++, Java, Common Lisp, Python, HTML, LaTEX.
API & Libs: STL, Win32, QT, OpenGL, CGAL.


A tessellation-based colocalization analysis approach for single-molecule localization microscopy.
Levet F, Julien G, Galland R, Butler C, Beghin A, Chazeau A, Hoess P, Ries J, Giannone G, Sibarita JB.
Nature Communications 2019; Article number: 2379.

Differential role of pre- and postsynaptic neurons in the activity-dependent control of synaptic strengths across dendrites.
Letellier M, Levet F, Thoumine O, Goda Y.
PLoS Biology 2019;17(6): e2006223.

Differential Nanoscale Topography and Functional Role of GluN2-NMDA Receptor Subtypes at Glutamatergic Synapses.
Kellermayer B, Ferreira JS, Dupuis J, Levet F, Grillo-Bosch D, Bard L, Linarès-Loyez J, Bouchet D, Choquet D, Rusakov DA, Bon P, Sibarita JB, Cognet L, Sainlos M, Carvalho AL, Groc L.
Neuron 2018; 100(1); 106-119.

Localization-based super-resolution imaging meets high-content screening.
Beghin, A., Kechkar, A., Butler, C., Levet, F., Cabillic, M., Rossier, O., Giannone, G., Galland, R., Choquet, D., Sibarita, J.B.
Nature Methods 2017; 14(12): 1184-1190.

Quantifying protein densities on cell membranes using super-resolution optical fluctuation imaging.
Lukeš, T., Glatzová, D., Kvíčalová, Z., Levet, F., Benda, A., Letschert, S., Sauer, M., Brdička, T., Lasser, T., Cebecauer, M.
Nature Communications 2017; 8 (1); 1731.

Nanoscale organization of synaptic adhesion proteins revealed by single-molecule localization microscopy.
Chamma, I., Levet, F., Sibarita, J.B., Sainlos, M., Thoumine, O.
Neurophotonics 2016; 3 (4).

SR-Tesseler: a method to segment and quantify localization-based super-resolution microscopy data.
Levet, F., Hosy, E., Kechkar, A., Butler, C., Beghin, A., Choquet, C., Sibarita, J.B.
Nature Methods 2015; 12 (11); 1065-1071.

Frequency of cocaine self-administration influences drug seeking in the rat: optogenetic evidence for a role of the Prelimbic cortex
Martín-García, E., Courtin, J., Renault, P., Fiancette, J.F., Wurtz, H., Simonnet, A., Levet, F., Herry, C., and Deroche-Gamonet V.
Neuropsychopharmacology. 2014;39;2317-30

Target-specific vulnerability of excitatory synapses leads to deficits in associative memory in a model of intellectual disorder.
Houbaert, X., Zhang, C.L., Gambino, F., Lepleux, M., Deshors, M., Normand, E., Levet, F., Ramos, M., Billuart, P., Chelly, J., et al.
J Neurosci. 2013;33;13805-13819

Automatic non-parametric capsid segmentation using wavelets transform and graph.
Levet, F., Cassany, A., Kann, M., Sibarita, JB.
IEEE International Symposium on Biomedical Imaging. May 2012;.1369-72

Neurexin-neuroligin adhesions capture surface-diffusing AMPA receptors through PSD-95 scaffolds.
Mondin, M., Labrousse, V., Hosy, E., Heine, M., Tessier, B., Levet, F., Poujol, C., Blanchet, C., Choquet, D., Thoumine, O.
J Neurosci. 2011;31(38);13500-13515.

Dynamic Superresolution Imaging of Endogenous Proteins on Living Cells at Ultra-High Density.
Giannone, G., Hosy, E., Levet, F., Constals, A., Schulze, K., Sobolevsky, AI., Rosconi, MP., Gouaux, E., Tampé, R., Choquet, D., Cognet, L.
Biophysical Journal. 2011;99(4);1303-1310.

Thor: Sketch_based 3D Modeling by Skeletons.
Arcila, R., Levet, F., Schlick, C.
Proc. Int. Symp. on Smart Graphics. 2008;9;232-238.

Improved Skeleton Extraction and Surface Generation for Sketch-based Modeling.
Levet, F., Granier, X.
Proc. Graphics Interface. 2007;33;27-33.

MarchingParticles: Fast Generation of Particles for the Sampling of Implicit Surfaces.
Levet, F., Schlick, C.
Computer Graphics and Geometry. 2007;9;18-49.

Multi-View Sketch-based FreeForm Modeling.
Levet, F., Granier, X., Schlick, C.
Proc. Int. Symp. on Smart Graphics. 2007;8;204-209

Triangulation of uniform particle systems: its application to the implicit surface texturing.
Levet, F., Granier, X., Schlick, C.
Proc. WSCG. 2007;15;271-278.

3D Sketching with profile curves.
Levet, F., Granier, X., Schlick, C.
Proc. Int. Symp. on Smart Graphics. 2006;7;114-125.

Fast sampling of implicit surfaces by particle systems.
Levet, F., Granier, X., Schlick, C.
Proc. Shape Modeling. 2006;39-44.

Anisotropic Sampling for Differential Point Rendering of Implicit Surfaces.
Levet, F., Hadim, J., Reuter, P., Schlick, C.
Proc. WSCG. 2005;13;109-116.