Automated recognition and analysis of body bending behavior in C. elegans.

ABSTRACT:

Background

Locomotion behaviors of Caenorhabditis elegans play an important role in drug activity screening, anti-aging research, and toxicological assessment. Previous studies have provided important insights into drug activity screening, anti-aging, and toxicological research by manually counting the number of body bends. However, manual counting is often low-throughput and takes a lot of time and manpower. And it is easy to cause artificial bias and error in counting results.

Results

In this paper, an algorithm is proposed for automatic counting and analysis of the body bending behavior of nematodes. First of all, the numerical coordinate regression method with convolutional neural network is used to obtain the head and tail coordinates. Next, curvature-based feature poin

SUBMITTER: Zhang H 

PROVIDER: S-EPMC10148436 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature