Article

SyMBac: Synthetic Micrographs for Accurate Segmentation of Bacterial Cells using Deep Neural Networks

2021-07-21

Abstract excerpt

We present a novel method of bacterial image segmentation using machine learning models trained with Synthetic Micrographs of Bacteria (SyMBac). SyMBac is a tool that allows for rapid, automatic creation of arbitrary amounts of training data, combining detailed models of cell growth, physical interactions, and microscope optics to create synthetic images which closely resemble real micrographs. The major advantage...

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Literature Corpus work: 36b4d75d-4394-5494-93cc-f7d7e301a938
DOI: 10.1101/2021.07.21.453284

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