Author

Beate Gericke

Max Planck Institute for Evolutionary BiologyORCID 0009-0003-5777-7945Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cell Biology· 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:fluorescence / live-cell microscopy· 1

Frequent Co-Authors

Carsten Fortmann-GroteiD· 1 shared Javier López‐GarridoiD· 1 shared Nadja Hüttman· 1 shared Nikola OjkiciD· 1 shared Octavio Reyes-MatteiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperCell Biology

Carsten Fortmann-GroteORCID

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1 paper

Recent·Most cited

Cell BiologyCommunications BiologyPeer-reviewedMay 21, 2026

Deep-learning deconvolution and segmentation of fluorescent membranes for high-precision bacterial cell-size profiling

Octavio Reyes-Matte, Carsten Fortmann-Grote, Beate Gericke…·Javier López‐Garrido

The paper introduces MEDUSSA, a deep-learning method for precise bacterial cell-size profiling from fluorescent membrane images, revealing significant cell volume variation across strains.

1 citation

bacteria (other)fluorescence / live-cell microscopy

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