Author

F. J. Barrantes

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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Biophysics· 2

Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 2 Approach:deep learning· 1 Assay:fluorescence / live-cell microscopy· 1 Assay:imaging· 1 Approach:microscopy & imaging analysis· 1

Frequent Co-Authors

A. Mosqueira· 1 shared H. Buena Maizon· 1 shared P. A. Camino· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 1 mutual co-author link

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1 shared paperBiophysics

A. Mosqueira

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2 papers

Recent·Most cited

BiophysicsbioRxivAug 16, 2021

A deep learning-based approach to model anomalous diffusion of membrane proteins: The case of the nicotinic acetylcholine receptor

H. Buena Maizon, F. J. Barrantes

The paper develops a deep learning system to analyze single-molecule diffusion of nicotinic acetylcholine receptors, showing it can accurately model anomalous diffusion behavior.

DOI 10.1093/bib/bbab435

fluorescence / live-cell microscopydeep learning

𝕏 PostBluesky

BiophysicsbioRxivSep 28, 2019

Antibody-induced crosslinking and cholesterol-sensitive, anomalous diffusion of nicotinic acetylcholine receptors

A. Mosqueira, P. A. Camino, F. J. Barrantes

This study uses STORM nanoscopy to analyze the dynamics of mAb35-crosslinked nicotinic acetylcholine receptors, revealing anomalous diffusion and cholesterol-sensitive clustering.

DOI 10.1111/jnc.14905

imagingmicroscopy & imaging analysis

𝕏 PostBluesky