Phase-contrast time-lapses of four bacteria species growing in microfluidic chips.

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.

本数据集与配套软件随附于论文《基于无标记深度学习（label-free deep learning）的相衬显微镜（phase-contrast microscopy）成像细菌物种分类》，用于复现该论文的研究结果。本研究针对在微流控芯片培养室中培养的粪肠球菌（Enterococcus faecalis）、大肠杆菌（Escherichia coli）、肺炎克雷伯菌（Klebsiella pneumoniae）以及铜绿假单胞菌（Pseudomonas aeruginosa），采用深度学习方法实现其物种分类。