Automation of Caenorhabditis elegans lifespan assay using a simplified domain synthetic image-based neural network training strategy

Automation of Caenorhabditis elegans lifespan assay using a simplified domain synthetic image-based neural network training strategy

Performing lifespan assays with Caenorhabditis elegans (C. elegans) nematodes manually is a time consuming and laborious task. Therefore, automation is necessary to increase productivity. In this paper, we propose a method to automate the counting of live C. elegans using deep learning. The survival...

Full description

Bibliographic Details
Main Authors: Antonio García-Garví, Pablo E. Layana-Castro, Joan Carles Puchalt, Antonio-José Sánchez-Salmerón
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
C. elegans
Lifespan automation
Deep learning
Training strategy
Synthetic data
Online Access:http://www.sciencedirect.com/science/article/pii/S200103702300363X

Similar Items

Similar Items