Author

Matthew Akamatsu

University of WashingtonORCID 0000-0002-0286-5310Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Assay:imaging· 1

Frequent Co-Authors

Atsushi MatsudaiD· 1 shared Christopher T. LeeiD· 1 shared David G. DrubiniD· 1 shared Michael A. FerriniD· 1 shared Ross T.A. PederseniD· 1 shared Se Min KimiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 6 mutual co-author links

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1 shared paperCell Biology

Atsushi MatsudaORCID

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2 papers

Recent·Most cited

Physics-Guided Neural Reconstruction of Cellular Membranes for 3D Electron Microscopy

Atsushi Matsuda, Se Min Kim, Matthew Akamatsu, Christopher T. Lee

This paper introduces a physics-informed neural network framework to reconstruct 3D membrane shapes and curvatures from electron microscopy images, showing improved accuracy and mechanical insights.

bioRxiv · Aug 4, 2026 · PreprintCell Biology

Force-insensitive myosin-I enhances endocytosis robustness through actin network-scale collective ratcheting

Michael A. Ferrin, Ross T.A. Pedersen, David G. Drubin, Matthew Akamatsu

The paper uses computational models to show that force-insensitive myosin-I enhances endocytosis robustness by reducing pit retraction, rather than through direct force transduction.

Molecular Biology of the Cell · May 28, 2025Peer-reviewedBiophysics