Published May 3, 2023
| Version 1.0
Dataset
Open
Phase-contrast time-lapses of four bacteria species growing in microfluidic chips.
- 1. Department of Information Technology, Uppsala University
- 2. Department of Cell and Molecular Biology, Uppsala University
Description
This dataset and software accompany the article "Label-free deep learning based species classification of bacteria imaged by phase-contrast microscopy" for reproducing the results. The study applies deep-learning methods for species classification of the bacteria Enterococcus faecalis, Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa growing in microfluidic chip chambers.
Files
replication_package.zip
Files
(17.2 GB)
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