Published November 3, 2023
| Version 3.0
Dataset
Open
Phase-contrast time-lapse recordings of four bacterial species growing in microfluidic microtraps
Authors/Creators
- 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 based image and video models for species classification of the bacteria Enterococcus faecalis, Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa growing in microfluidic chip traps.