Corrigendum: Bioinformatic analysis reveals the association between bacterial morphology and antibiotic resistance using light microscopy with deep learning

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Main Authors: Miki Ikebe, Kota Aoki, Mitsuko Hayashi-Nishino, Chikara Furusawa, Kunihiko Nishino
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Microbiology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2025.1607769/full
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author Miki Ikebe
Miki Ikebe
Kota Aoki
Mitsuko Hayashi-Nishino
Mitsuko Hayashi-Nishino
Mitsuko Hayashi-Nishino
Chikara Furusawa
Chikara Furusawa
Kunihiko Nishino
Kunihiko Nishino
Kunihiko Nishino
author_facet Miki Ikebe
Miki Ikebe
Kota Aoki
Mitsuko Hayashi-Nishino
Mitsuko Hayashi-Nishino
Mitsuko Hayashi-Nishino
Chikara Furusawa
Chikara Furusawa
Kunihiko Nishino
Kunihiko Nishino
Kunihiko Nishino
author_sort Miki Ikebe
collection DOAJ
format Article
id doaj-art-45883fb7cacd4262bae42661beaee20d
institution DOAJ
issn 1664-302X
language English
publishDate 2025-04-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Microbiology
spelling doaj-art-45883fb7cacd4262bae42661beaee20d2025-08-20T03:18:05ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2025-04-011610.3389/fmicb.2025.16077691607769Corrigendum: Bioinformatic analysis reveals the association between bacterial morphology and antibiotic resistance using light microscopy with deep learningMiki Ikebe0Miki Ikebe1Kota Aoki2Mitsuko Hayashi-Nishino3Mitsuko Hayashi-Nishino4Mitsuko Hayashi-Nishino5Chikara Furusawa6Chikara Furusawa7Kunihiko Nishino8Kunihiko Nishino9Kunihiko Nishino10SANKEN (Institute of Scientific and Industrial Research), Osaka University, Osaka, JapanGraduate School of Pharmaceutical Sciences, Osaka University, Suita, JapanSANKEN (Institute of Scientific and Industrial Research), Osaka University, Osaka, JapanSANKEN (Institute of Scientific and Industrial Research), Osaka University, Osaka, JapanGraduate School of Pharmaceutical Sciences, Osaka University, Suita, JapanArtificial Intelligence Research Center (AIRC-SANKEN), Osaka University, Osaka, JapanCenter for Biosystems Dynamics Research, RIKEN, Suita, JapanUniversal Biology Institute, The University of Tokyo, Tokyo, JapanSANKEN (Institute of Scientific and Industrial Research), Osaka University, Osaka, JapanGraduate School of Pharmaceutical Sciences, Osaka University, Suita, JapanCenter for Infectious Disease Education and Research, Osaka University, Osaka, Japanhttps://www.frontiersin.org/articles/10.3389/fmicb.2025.1607769/fullantibiotic resistancelight microscopybacterial morphologydeep learningbioinformatic analysis
spellingShingle Miki Ikebe
Miki Ikebe
Kota Aoki
Mitsuko Hayashi-Nishino
Mitsuko Hayashi-Nishino
Mitsuko Hayashi-Nishino
Chikara Furusawa
Chikara Furusawa
Kunihiko Nishino
Kunihiko Nishino
Kunihiko Nishino
Corrigendum: Bioinformatic analysis reveals the association between bacterial morphology and antibiotic resistance using light microscopy with deep learning
Frontiers in Microbiology
antibiotic resistance
light microscopy
bacterial morphology
deep learning
bioinformatic analysis
title Corrigendum: Bioinformatic analysis reveals the association between bacterial morphology and antibiotic resistance using light microscopy with deep learning
title_full Corrigendum: Bioinformatic analysis reveals the association between bacterial morphology and antibiotic resistance using light microscopy with deep learning
title_fullStr Corrigendum: Bioinformatic analysis reveals the association between bacterial morphology and antibiotic resistance using light microscopy with deep learning
title_full_unstemmed Corrigendum: Bioinformatic analysis reveals the association between bacterial morphology and antibiotic resistance using light microscopy with deep learning
title_short Corrigendum: Bioinformatic analysis reveals the association between bacterial morphology and antibiotic resistance using light microscopy with deep learning
title_sort corrigendum bioinformatic analysis reveals the association between bacterial morphology and antibiotic resistance using light microscopy with deep learning
topic antibiotic resistance
light microscopy
bacterial morphology
deep learning
bioinformatic analysis
url https://www.frontiersin.org/articles/10.3389/fmicb.2025.1607769/full
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