Deep-learning deconvolution and segmentation of fluorescent membranes for high-precision bacterial cell-size profiling
Octavio Reyes-Matte, Carsten Fortmann-Grote, Beate Gericke, Nadja Hüttman, Nikola Ojkic, 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.
Communications Biology · May 21, 2026Peer-reviewedCell Biology