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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Antonio García-Garví, Pablo E. Layana-Castro, Joan Carles Puchalt, Antonio-José Sánchez-Salmerón
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	American Association for the Advancement of Science (AAAS) 2023-01-01
Sarja:	Computational and Structural Biotechnology Journal
Aiheet:	C. elegans Lifespan automation Deep learning Training strategy Synthetic data
Linkit:	http://www.sciencedirect.com/science/article/pii/S200103702300363X
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