WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans

bioRxiv 2020 Laetitia HebertTosif AhamedAntonio C CostaLiam O'ShaughnessyGreg J Stephens

An important model system for understanding genes, neurons and behavior, the nematode worm C. elegans naturally moves through a variety of complex postures, for which estimation from video data is challenging. We introduce an open-source Python package, WormPose, for 2D pose estimation in C. elegans , including self-occluded, coiled shapes... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper