Papers by Eric Fourmentin
abstractCryo-electron tomography (cryo-ET) allows one to visualize and study the 3D spatial distr... more abstractCryo-electron tomography (cryo-ET) allows one to visualize and study the 3D spatial distribution of macromolecules, in their native states and at nanometer resolution in single cells. While this label-free cryogenic imaging technology produces data containing rich structural information, automatic localization and identification of macromolecules are prone to noise and reconstruction artifacts, and to the presence of many molecular species in small areas. Hence, we present a computational procedure that uses artificial neural networks to accurately localize several macromolecular species in cellular cryo-electron tomograms. The DeepFinder algorithm leverages deep learning and outperforms the commonly-used template matching method on synthetic datasets. Meanwhile, DeepFinder is very fast when compared to template matching, and is better capable of localizing and identifying small macro-molecules than other competitive deep learning methods. On experimental cryo-ET data depict...
M odelling C omplex B iological S ystems
PloS one, 2013
The GraphiteLifeExplorer tool enables biologists to reconstruct 3D cellular complexes built from ... more The GraphiteLifeExplorer tool enables biologists to reconstruct 3D cellular complexes built from proteins and DNA molecules. Models of DNA molecules can be drawn in an intuitive way and assembled to proteins or others globular structures. Real time navigation and immersion offer a unique view to the reconstructed biological machinery. Citation: Hornus S, Lévy B, Larivière D, Fourmentin E (2013) Easy DNA Modeling and More with GraphiteLifeExplorer. PLoS ONE 8(1): e53609.
FEMS microbiology …, 2011
Formerly regarded as small 'bags' of nucleic acids with randomly diffusing enzymes, bacteria are ... more Formerly regarded as small 'bags' of nucleic acids with randomly diffusing enzymes, bacteria are organized by a sophisticated and tightly regulated molecular machinery. Here, we review qualitative and quantitative data on the intracellular organization of bacteria and provide a detailed inventory of macromolecular structures such as the divisome, the degradosome and the bacterial 'nucleolus' . We discuss how these metabolically active structures manage the spatial organization of the cell and how macromolecular crowding influences them. We present for the first time a visualization program, LIFEEXPLORER, that can be used to study the interplay between metabolism and spatial organization of a prokaryotic cell.
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Papers by Eric Fourmentin