Synthetic Micrographs of Bacteria (SyMBac) allows accurate segmentation of bacterial cells using deep neural networks

Synthetic Micrographs of Bacteria (SyMBac) allows accurate segmentation of bacterial cells using deep neural networks

Abstract Background Deep-learning–based image segmentation models are required for accurate processing of high-throughput timelapse imaging data of bacterial cells. However, the performance of any such model strictly depends on the quality and quantity of training data, which is difficult to generat...

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Bibliographic Details
Main Authors: Georgeos Hardo, Maximilian Noka, Somenath Bakshi
Format: Article
Language:English
Published: BMC 2022-11-01
Series:BMC Biology
Subjects:
Image analysis
High-throughput imaging
Microfluidics
Timelapse microscopy
Bacterial cell imaging
Deep-learning
Online Access:https://doi.org/10.1186/s12915-022-01453-6

Internet

https://doi.org/10.1186/s12915-022-01453-6

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