HIGHLIGHTS
- who: Tim Scherr and collaborators from the Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, EggensteinLeopoldshafen, Germany, Institute of Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum Juu0308lich GmbH, Juu0308lich, Germany, Computational Systems Biology (AVTCSB), RWTH University have published the article: microbeSEG: A deep learning software tool with OMERO data management for efficient and accurate cell segmentation, in the Journal: PLOS ONE of 29/Nov/2022
- what: The main focus of microbeSEG is a comprehensible easy efficient and complete workflow from the creation of training data to the final application of the trained segmentation . . .
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