WormPose now published in PLOS Computational Biology
Our work using convolutional neural networks to efficently resolve coiled worm posture is now available from PLOS Computational Biology! Congratulations to lead author, software engineer Laetitia Hebert, and to the rest of our worm team for a fabulous group effort. WormPose is open-source and can be installed from a Python package. We are already using WormPose to explore long behavioral recordings in C. elegans.