Author

Otmane Bouchareb

Canon (France)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2 Bioengineering· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 3 Research Focus:benchmarking· 2 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:database / resource· 1 Approach:experimental assay· 1 Assay:fluorescence / live-cell microscopy· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Célia Martin· 3 shared Jacques PécréauxiD· 3 shared Marc TramieriD· 3 shared Youssef El HabouziD· 3 shared Baptiste Giroux· 2 shared Claire DéméautisiD· 2 shared Julia BonnetiD· 2 shared Louis Ruel· 2 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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3 shared papersBioinformatics

Célia Martin

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Semi supervised GAN for smart microscopy, fast and data efficient cell cycle classification

R. Manick, Youssef El Habouz, Maëlle Guillout, Célia Martin, Julia Bonnet, Louis Ruel, Sylvain Pastezeur, Olivier Chanteux, Otmane Bouchareb, Marc Tramier, Jacques Pécréaux

The paper introduces a semi-supervised GAN for cell cycle classification using limited annotated data and unlabelled microscopy images, achieving high accuracy on the Mitocheck dataset.

bioRxiv · May 29, 2026 · PreprintBioinformatics

Smart Microscopy: Current Implementations and a Roadmap for Interoperability

Lucien Hinderling, Hannah S. Heil, Alfredo Rates, Philipp Seidel, P. S. Kesavan, Manuel Gunkel, Benedict Diederich, Thomas Guilbert, Rémy Torro, Otmane Bouchareb, Claire Déméautis, Célia Martin, Scott Brooks, Evangelos Sisamakis, Erwan Grandgirard, , Rafael Camacho

This paper reviews current smart microscopy implementations and proposes a framework for interoperability to improve collaboration and standardization in the field.

Methods in microscopy · Feb 21, 2026Peer-reviewedCell Biology

The Roboscope: Smart and Fast Microscopy for Generic Event-Driven Acquisition

Julia Bonnet, Youssef El Habouz, Célia Martin, Maëlle Guillout, Louis Ruel, Baptiste Giroux, Claire Déméautis, Benjamin Mercat, Otmane Bouchareb, Jacques Pécréaux, Marc Tramier

The Roboscope autonomously captures rare biological events using deep learning and sequence interruption, demonstrating efficiency with minimal training data.

bioRxiv · Sep 24, 2024 · PreprintBioengineering

Neural network fast-classifies biological images using features selected after their random-forests-importance to power smart microscopy.

Maël Balluet, Florian Sizaire, Youssef El Habouz, Thomas Walter, Jérémy Pont, Baptiste Giroux, Otmane Bouchareb, Marc Tramier, Jacques Pécréaux

The paper develops a fast image classification method for biological microscopy by selecting discriminant features and using machine learning to improve speed and accuracy.

bioRxiv · Nov 10, 2020 · PreprintBioinformatics