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

Published in:	eLife
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
Subjects:	Microbial eukaryotes Automated microscopy Marine plankton biodiversity Environmental cell biology Machine learning Symbioses
Online Access:	https://elifesciences.org/articles/26066