Detail of AMK_20220511_AMK1_0007


Project
SSBD:Repository
Title
Cell morphology of AMK-resistant E. coli cells from the first line of the resistant strain in the first dataset under phase contrast light microscopy at position 7
Description
In this study, the authors isolated four lines of Amikacin (AMK)-resistant Escherichia coli (E. coli). This dataset includes one of the image of the E. coli in the first line. In the first dataset, single colonies were isolated from AMK-resistant E. coli and cultured without antibiotics. Parts of AMK-resistant cells from the first line of the resistant strain showed slightly elongated morphology under phase contrast light microscopy, compared to the parental strain. The cell morphology showed difference among strains of four lines.
Release, Updated
2026-07-08
License
CC BY 4.0
Kind
Image data
File Formats
tif
Data size
28.8 MB

Organism
Escherichia coli ( NCBI:txid562 )
Strain(s)
-
Cell Line
-

Datatype
-
Molecular Function (MF)
Biological Process (BP)
response to antibiotic regulation of cell shape cell growth
Cellular Component (CC)
cell envelope cell wall
Biological Imaging Method
phase contrast microscopy ( Fbbi:00000247 )
X scale
0.046 micrometer
Y scale
0.046 micrometer
Z scale
-
T scale
-

Image Acquisition
Experiment type
-
Microscope type
-
Acquisition mode
-
Contrast method
-
Microscope model
-
Detector model
-
Objective model
-
Filter set
-

Summary of Methods
Ikebe M, Aoki K, Hayashi-Nishino M, Furusawa C, Nishino K. Bioinformatic analysis reveals the association between bacterial morphology and antibiotic resistance using light microscopy with deep learning. Front Microbiol. 2024 Sep 19;15:1450804. doi: 10.3389/fmicb.2024.1450804. Erratum in: Front Microbiol. 2024 Nov 08;15:1516320.
Related paper(s)

Contact
Kota Aoki, Mitsuko Hayashi-Nishino, Kunihiko Nishino , Osaka University, Osaka University, Osaka University , SANKEN (Institute of Scientific and Industrial Research), SANKEN (Institute of Scientific and Industrial Research), SANKEN (Institute of Scientific and Industrial Research) , SANKEN (Institute of Scientific and Industrial Research), SANKEN (Institute of Scientific and Industrial Research), SANKEN (Institute of Scientific and Industrial Research)
Contributors

OMERO Dataset
OMERO Project
Source