Article
WorMachine: machine learning-based phenotypic analysis tool for worms.
BMC biology - 16 Jan 2018
Hakim Adam, Mor Yael, Toker Itai Antoine, Levine Amir, Neuhof Moran, Markovitz Yishai, Rechavi Oded
Abstract excerpt
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 C. elegans worms, (2) extraction of morphological features and quantification of fluorescent signals, and (3) machine...
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