Author

J. R. Chubb

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· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Research Focus:dimensionality reduction· 1 Organism:Drosophila· 1 Approach:experimental assay· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Manhart· 1 shared A. Sheridan· 1 shared D. C. A. Gaboriau· 1 shared H. Z. Ford· 1 shared M. Priessner· 1 shared R. F. Laine· 1 shared R. Vilar Compte· 1 shared T. Lenn· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 22 mutual co-author links

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1 shared paperBiophysics

A. Manhart

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2 papers

Recent·Most cited

BiophysicsbioRxivJan 7, 2022

Controlling periodic long-range signalling to drive a morphogenetic transition

H. Z. Ford, A. Manhart, J. R. Chubb

The paper investigates how periodic cAMP waves in Dictyostelium drive collective migration through signal relay, finding that wave frequency increases due to positive feedback between cell signaling and spatial patterns.

DOI 10.7554/elife.83796

Drosophilaimaging

𝕏 PostBluesky

Cell BiologybioRxivNov 2, 2021

Content-aware frame interpolation (CAFI): Deep Learning-based temporal super-resolution for fast bioimaging

M. Priessner, D. C. A. Gaboriau, A. Sheridan…·R. F. Laine

This paper introduces two deep learning models for improving temporal resolution in bioimaging by interpolating frames between image pairs, reducing phototoxicity and enabling long-term live-cell imaging.

DOI 10.1038/s41592-023-02138-w

imagingdeep learning

𝕏 PostBluesky