Ontology highlight
ABSTRACT:
SUBMITTER: Hakim A
PROVIDER: S-EPMC5769209 | biostudies-literature | 2018 Jan
REPOSITORIES: biostudies-literature
BMC biology 20180116 1
<h4>Background</h4>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 learning techniques for high-level analysis.<h4>Results</h4>We examined the power o ...[more]