Author

Inès Fonquernie

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Inès FonquernieiD1 paper · École Polytechnique

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:imaging· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Caroline BoudouxiD· 1 shared Elisa DultziD· 1 shared François SimoniD· 1 shared Guillaume RamadieriD· 1 shared Janka Zsok· 1 shared Lucien E. WeissiD· 1 shared Michel MeunieriD· 1 shared Sergiy PatskovskyiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperBiophysics

Caroline BoudouxORCID

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1 paper

Recent·Most cited

BiophysicseLifePeer-reviewedApr 7, 2026

Detecting directed motion and confinement in single-particle trajectories using hidden variables

François Simon, Guillaume Ramadier, Inès Fonquernie…·Lucien E. Weiss

This paper introduces aTrack, a tool for classifying single-particle motion as Brownian, confined, or directed, and demonstrates its application in cellular and biosensing contexts.

DOI 10.7554/elife.99347.3

imagingdeep learning

𝕏 PostBluesky