Back to search

Article

Machine learning identification of <i>Pseudomonas aeruginosa</i> strains from colony image data

2022-09-02

Abstract excerpt

When grown on agar surfaces, microbes can produce distinct multicellular spatial structures called colonies, which contain characteristic sizes, shapes, edges, textures, and degrees of opacity and color. For over one hundred years, researchers have used these morphology cues to classify bacteria and guide more targeted treatment of pathogens. Advances in genome sequencing technology have revolutionized our ability...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
0491874a-086b-5346-8f59-69fd8a77f63d
DOI
10.1101/2022.09.02.506375
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Machine learning identification of <i>Pseudomonas aeruginosa</i> strains from colony image dataDOI 10.1101/2022.09.02.506375
Select a neighboring publication to make it the new centre.