Author

Thierry Pécot

Centre National de la Recherche ScientifiqueORCID 0000-0003-0772-9753Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:imaging· 2 Approach:deep learning· 1 Approach:microscopy & imaging analysis· 1 Organism:mouse· 1 Research Focus:spatial domain detection· 1 Organism:Xenopus· 1

Frequent Co-Authors

Claire Heichette· 1 shared Cynthia Dawn TimmersiD· 1 shared Gabriel GuillouxiD· 1 shared Gustavo W. LeoneiD· 1 shared Karel MocaeriD· 1 shared Laurence DuchesneiD· 1 shared Maiko KitaokaiD· 1 shared Maria C. Cuitiño· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCell Biology

Claire Heichette

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Optimized expansion microscopy reveals species-specific spindle microtubule organization in Xenopus egg extracts

Gabriel Guilloux, Maiko Kitaoka, Karel Mocaer, Claire Heichette, Laurence Duchesne, Rebecca Heald, Thierry Pécot, Romain Gibeaux

This study uses optimized expansion microscopy to reveal species-specific differences in spindle microtubule organization between Xenopus laevis and Xenopus tropicalis.

Molecular Biology of the Cell · May 6, 2025Peer-reviewedCell Biology

Deep learning tools and modeling to estimate the temporal expression of cell cycle proteins from 2D still images

Thierry Pécot, Maria C. Cuitiño, Roger H. Johnson, Cynthia Dawn Timmers, Gustavo W. Leone

The paper develops a deep learning approach to estimate cell cycle protein expression from 2D fluorescent images by segmenting nuclei and quantifying fluorescent labels.

PLoS Computational Biology · Mar 14, 2022Peer-reviewedBioinformatics