DeepBacs

DeepBacs demonstrates the potential of open-source deep-learning approaches in microbiological research. We provide dataset that can be used to train models for different tasks, e.g. image segmentation, denoising, artificial labeling or prediction of super-resolution images.

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DeepBacs: Bacterial image analysis using open-source deep learning approaches *Christoph Spahn*, *Estibaliz Gómez-de-Mariscal*, *Romain F. Laine*, *Pedro Matos Pereira*, *Estibaliz Gómez-de-Mariscal*, *Lucas von Chamier*, Mia Conduit, Mariana Gomes de Pinho, Guillaume Jacquemet, Séamus Holden, *Mike Heilemann*, Mike Heilemann, *Ricardo Henriques* Published in bioRxiv, November 2021 (see preprint) Research themes: New Methods, Software Type: Preprint, Corresponding author