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
Bacteria identification has predominantly been conducted using specific bioreceptors such as antibod...
Recent research on population heterogeneity revealed fascinating insights into microbial behavior. I...
The power and simplicity of visual colony counting have made it the mainstay of microbiological anal...
This dataset and software accompany the article "Label-free deep learning based species classificati...
Detection and identification of pathogenic bacteria isolated from biological samples (blood, urine, ...
Microfluidic devices are an emerging platform for a variety of experiments involving bacterial cell ...
Microfluidic devices are an emerging platform for a variety of experiments involving bacterial cell ...
Schlueter J-P, McIntosh M, Hattab G, Nattkemper TW, Becker A. Phase Contrast and Fluorescence Bacter...
Early identification of pathogenic bacteria in food, water, and bodily fluids is very important and ...
Detection and identification of pathogenic bacteria isolated from biological samples (blood, urine, ...
Most of the biological sciences deal with understanding the relationships between phenotypes and the...
Most of the biological sciences deal with understanding the relationships between phenotypes and the...
This work demonstrates and guides how to use a range of state-of-the-art artificial neural-networks ...
Traditionally, optical microscopy is used to visualize the morphological features of pathogenic bact...
Detection and identification of microbial species are crucial in a wide range of industries, includi...
Bacteria identification has predominantly been conducted using specific bioreceptors such as antibod...
Recent research on population heterogeneity revealed fascinating insights into microbial behavior. I...
The power and simplicity of visual colony counting have made it the mainstay of microbiological anal...
This dataset and software accompany the article "Label-free deep learning based species classificati...
Detection and identification of pathogenic bacteria isolated from biological samples (blood, urine, ...
Microfluidic devices are an emerging platform for a variety of experiments involving bacterial cell ...
Microfluidic devices are an emerging platform for a variety of experiments involving bacterial cell ...
Schlueter J-P, McIntosh M, Hattab G, Nattkemper TW, Becker A. Phase Contrast and Fluorescence Bacter...
Early identification of pathogenic bacteria in food, water, and bodily fluids is very important and ...
Detection and identification of pathogenic bacteria isolated from biological samples (blood, urine, ...
Most of the biological sciences deal with understanding the relationships between phenotypes and the...
Most of the biological sciences deal with understanding the relationships between phenotypes and the...
This work demonstrates and guides how to use a range of state-of-the-art artificial neural-networks ...
Traditionally, optical microscopy is used to visualize the morphological features of pathogenic bact...
Detection and identification of microbial species are crucial in a wide range of industries, includi...
Bacteria identification has predominantly been conducted using specific bioreceptors such as antibod...
Recent research on population heterogeneity revealed fascinating insights into microbial behavior. I...
The power and simplicity of visual colony counting have made it the mainstay of microbiological anal...