WorMachine: machine learning-based phenotypic analysis tool for worms

WorMachine: machine learning-based phenotypic analysis tool for worms

Abstract Background Caenorhabditis elegans nematodes are powerful model organisms, yet quantification of visible phenotypes is still often labor-intensive, biased, and error-prone. We developed WorMachine, a three-step MATLAB-based image analysis software that allows (1) automated identification of...

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Bibliographic Details
Main Authors: Adam Hakim, Yael Mor, Itai Antoine Toker, Amir Levine, Moran Neuhof, Yishai Markovitz, Oded Rechavi
Format: Article
Language:English
Published: BMC 2018-01-01
Series:BMC Biology
Subjects:
Caenorhabditis elegans
Machine learning
Deep learning
High-throughput image analysis
Feature extraction
Image processing
Online Access:http://link.springer.com/article/10.1186/s12915-017-0477-0

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http://link.springer.com/article/10.1186/s12915-017-0477-0

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