Dataset
Deep Antimicrobial Susceptibility Phenotyping (DASP) Training and Evaluation Dataset, and Trained Models.
- Documentation:
- Dataset of microscopy images of untreated and treated E.coli lab strains and clinical isolates, and machine learning models trained on them. Corresponding publications: https://doi.org/10.1101/2022.12.08.22283219 Corresponding analysis code: https://github.com/KapanidisLab/Deep-Learning-and-Single-Cell-Phenotyping-for-Rapid-Antimicrobial-Susceptibility-Testing
Actions
Authors/Creators
+ Engineering and Physical Sciences Research Council
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- Funder identifier:
- http://dx.doi.org/10.13039/501100000266
- Grant:
- EP/L016052/1
- Programme:
- Oxford-Nottingham Biomedical Imaging Centre for Doctoral Training
+ Oxford Martin School, University of Oxford
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- Funder identifier:
- http://dx.doi.org/10.13039/501100004211
- Programme:
- Oxford Martin School Programme on Antimicrobial Resistance Testing
+ Wellcome Trust
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- Funder identifier:
- http://dx.doi.org/10.13039/100010269
- Grant:
- 110164/Z/15/Z
+ Biotechnology and Biological Sciences Research Council
More from this funder
- Funder identifier:
- http://dx.doi.org/10.13039/501100000268
- Grant:
- BB/N018656/1
- BB/S008896/1
- Publisher:
- University of Oxford
- Publication date:
- 2023
- Spatial coverage:
- Oxford
- DOI:
- Temporal coverage:
- 2020 - 2022
- Data collected:
- 2020-08-20 - 2022-09-20
- Language:
-
English
- Keywords:
- Subjects:
- Deposit date:
-
2023-01-06
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