WorMachine: machine learning-based phenotypic analysis tool for worms

@inproceedings{Hakim2017WorMachineML,
  title={WorMachine: machine learning-based phenotypic analysis tool for worms},
  author={Adam Hakim and Yael Mor and Itai Antoine Toker and Amir Levine and Moran Neuhof and Yishai Markovitz and Oded Rechavi},
  booktitle={BMC Biology},
  year={2017}
}
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… CONTINUE READING