Author

Anotida Madzvamuse

University of British ColumbiaORCID 0000-0002-9511-8903Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 2 Approach:biophysical modeling· 1 Research Focus:cancer & tumor microenvironment· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Rachèle AllenaiD· 2 shared Cécile JebaneiD· 1 shared Clément SoubrieriD· 1 shared David Hernandez–AristizabaliD· 1 shared Emmanuèle HelferiD· 1 shared Francesca BallatoreiD· 1 shared Frédéric LutoniD· 1 shared Haig Alexander EskandarianiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 12 mutual co-author links

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2 shared papersBiophysics

Rachèle AllenaORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

A geometric-surface PDE model for cell-nucleus translocation through confinement

Francesca Ballatore, Anotida Madzvamuse, Cécile Jebane, Emmanuèle Helfer, Rachèle Allena

This paper introduces a geometric-surface PDE model to simulate cell-nucleus translocation through confined spaces, showing that surface tension and geometry are key factors in translocation efficiency.

PLoS Computational Biology · Jul 30, 2026Peer-reviewedBiophysics

Basement membrane turnover drives filopodial protease-independent invasion

David Hernandez–Aristizabal, Anotida Madzvamuse, Frédéric Luton, Rachèle Allena

This study shows that basement membrane turnover and filopodia can drive protease-independent invasion through mechanical deformation and pore enlargement.

Journal of The Royal Society Interface · Jun 17, 2026Peer-reviewedBiophysics

Quantifying the organization and dynamics of M. smegmatis morphology from Long-Term Time-Lapse Atomic Force Microscopy

Clément Soubrier, Anotida Madzvamuse, Haig Alexander Eskandarian, Khanh Dao Duc

This study quantifies M. smegmatis morphology dynamics using LTTL-AFM and identifies bi-phasic pole growth and wave-form propagation, supported by a reaction-diffusion model.

bioRxiv · Jan 17, 2025 · PreprintCell Biology