Multi-environment model estimation for motility analysis of Caenorhabditis elegans.

ABSTRACT: The nematode Caenorhabditis elegans is a well-known model organism used to investigate fundamental questions in biology. Motility assays of this small roundworm are designed to study the relationships between genes and behavior. Commonly, motility analysis is used to classify nematode movements and characterize them quantitatively. Over the past years, C. elegans' motility has been studied across a wide range of environments, including crawling on substrates, swimming in fluids, and locomoting through microfluidic substrates. However, each environment often requires customized image processing tools relying on heuristic parameter tuning. In the present study, we propose a novel Multi-Environment Model Estimation (MEME) framework for automated image segmentation that is versatile across var

SUBMITTER: Sznitman R 

PROVIDER: S-EPMC2908547 | biostudies-literature | 2010 Jul

REPOSITORIES: biostudies-literature