Correction: Synthetic Micrographs of Bacteria (SyMBac) allows accurate segmentation of bacterial cells using deep neural networks
Georgeos Hardo, Maximilian Noka, Somenath Bakshi

Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCell Image Analysis Techniques · Image Processing Techniques and Applications · Image Processing and 3D Reconstruction
Correction **: ** BMC Biology 20, 263 (2022)
https://doi.org/10.1186/s12915-022–01453- 6
Upon publication of the original article [1], the authors noticed that Figure 4 contained an error.
The labels of the two traces presented in Fig. 4b are flipped in the figure legend, which causes the misinterpretation that DeLTA, SyMBac trained is noisier than DeLTA, human trained.
This conflicts with the histogram of Figure 4a, and the other relevant sections of the paper.
The correct color should be blue for DeLTA, SyMBac trained and orange for DeLTA, human trained.
The corrected figure can be viewed ahead in this Correction article.
