Author

Nadja Hüttman

Max Planck Institute for Evolutionary Biology

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Cell Biology· 1

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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

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

Activity by Year

2026-2026 · peak 1/yr

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1 shared paperCell Biology

Beate GerickeORCID

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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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