Author

M. Priessner

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Biology Disciplines

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Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1

Frequent Co-Authors

A. Sheridan· 1 shared D. C. A. Gaboriau· 1 shared J. R. Chubb· 1 shared R. F. Laine· 1 shared R. Vilar Compte· 1 shared T. Lenn· 1 shared U. Manor· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperCell Biology

A. Sheridan

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1 paper

Recent·Most cited

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

M. Priessner, D. C. A. Gaboriau, A. Sheridan, T. Lenn, J. R. Chubb, U. Manor, R. Vilar Compte, 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.

bioRxiv · Nov 2, 2021Cell Biology