Author

Vincent Grumbacher

University of Cambridge

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

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Abhirup MookherjeeiD· 1 shared Diana FuscoiD· 1 shared Jordan Romeyer DherbeyiD· 1 shared M H Pouriaye ValiiD· 1 shared Mirko MurgiaiD· 1 shared Nikhil P. KrishnaniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBiophysics

Abhirup MookherjeeORCID

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1 paper

Recent·Most cited

AutoWrinkleID: a machine learning pipeline for biofilm wrinkle identification and quantitative analysis

Mirko Murgia, M H Pouriaye Vali, Abhirup Mookherjee, Nikhil P. Krishnan, Vincent Grumbacher, Jordan Romeyer Dherbey, Diana Fusco

AutoWrinkleID is a machine learning pipeline for automated biofilm wrinkle detection and quantification, showing that motility-based annotations outperform manual and constitutive fluorescence annotations.

bioRxiv · Sep 22, 2026 · PreprintBiophysics