Bioinformatic analysis reveals the association between bacterial morphology and antibiotic resistance using light microscopy with deep learning
by Ikebe, M., Aoki, K., Hayashi-Nishino, M., Furusawa, C., and Nishino, K. (2024). Front. Microbiol. 15:1450804. doi: 10.3389/fmicb.2024.1450804
Due to a production error, the link to the supplementary material for this article led to incorrect files.
The publisher apologizes for this mistake.
The original version of this article has been updated.
Keywords: antibiotic resistance, light microscopy, bacterial morphology, deep learning, bioinformatic analysis
Citation: Frontiers Production Office (2024) Erratum: Bioinformatic analysis reveals the association between bacterial morphology and antibiotic resistance using light microscopy with deep learning. Front. Microbiol. 15:1516320. doi: 10.3389/fmicb.2024.1516320
Received: 24 October 2024; Accepted: 24 October 2024;
Published: 08 November 2024.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2024 Frontiers Production Office. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Frontiers Production Office, production.office@frontiersin.org