Quantitative 3D-imaging for cell biology and ecology of environmental microbial eukaryotes

Quantitative 3D-imaging for cell biology and ecology of environmental microbial eukaryotes

We present a 3D-fluorescence imaging and classification tool for high throughput analysis of microbial eukaryotes in environmental samples. It entails high-content feature extraction that permits accurate automated taxonomic classification and quantitative data about organism ultrastructures and int...

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Bibliographic Details
Main Authors: Sebastien Colin, Luis Pedro Coelho, Shinichi Sunagawa, Chris Bowler, Eric Karsenti, Peer Bork, Rainer Pepperkok, Colomban de Vargas
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2017-10-01
Series:eLife
Subjects:
Microbial eukaryotes
Automated microscopy
Marine plankton biodiversity
Environmental cell biology
Machine learning
Symbioses
Online Access:https://elifesciences.org/articles/26066

Internet

https://elifesciences.org/articles/26066

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