Christophe Zimmer

Deep learning methods use artificial neural networks to learn complex mappings between raw numeric input data and higher order semantic outputs. These computational techniques are at the heart of recent advances in artificial intelligence, with breakthrough […]

Fluorescence microscopy is a defining technology in cellular biology but the diffraction of light limits the resolution of standard microscopes to ~200 nm, thus preventing detailed analyses of molecular structures. We are actively interested […]

The one-dimensional sequence of the genome is carried by long polymers (chromosomes), which fold in the three dimensional volume of the nucleus. How this folding occurs and what it implies for genome function remains […]

This software allows to vastly reduce the acquisition time of super-resolution localization microscopy. See https://annapalm.pasteur.fr/#/. The method is described in detail in Ouyang et al. 2018.

A software to reconstruct 1D genome structures from 3D contact data obtained from Hi-C experiments. This movie shows the iterative assembly by GRAAL of the Trichoderma reesei genome (right) using contact frequencies determined by […]

  A free Matlab-based toolbox to detect and count individual mRNA transcripts in single cells by automatic analysis of 3D RNA-FISH images. Software is available freely together with extensive instructions at : https://code.google.com/p/fish-quant/. The […]

A free and fast ImageJ plugin for reconstructing super-resolution 3D images in PALM/STORM microscopy is available freely for download at : http://code.google.com/p/quickpalm/This website also offers tutorials about using the software and practical information on […]

We have developed a series of software tools to compute and analyze the positions of genomic loci from thousands of yeast cells observed in fluorescence microscopy.  These tools are available freely to academic and […]