Misic, a general deep learning-based method for the high-throughput cell segmentation of complex bacterial communities.
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ABSTRACT:
SUBMITTER: Panigrahi S
PROVIDER: S-EPMC8478410 | biostudies-literature | 2021 Sep
REPOSITORIES: biostudies-literature
Publications
Misic, a general deep learning-based method for the high-throughput cell segmentation of complex bacterial communities.
Panigrahi Swapnesh S Murat Dorothée D Le Gall Antoine A Martineau Eugénie E Goldlust Kelly K Fiche Jean-Bernard JB Rombouts Sara S Nöllmann Marcelo M Espinosa Leon L Mignot Tâm T
eLife 20210909
Studies of bacterial communities, biofilms and microbiomes, are multiplying due to their impact on health and ecology. Live imaging of microbial communities requires new tools for the robust identification of bacterial cells in dense and often inter-species populations, sometimes over very large scales. Here, we developed MiSiC, a general deep-learning-based 2D segmentation method that automatically segments single bacteria in complex images of interacting bacterial communities with very little ...[more]
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