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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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