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...

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Detalles Bibliográficos
Autores principales: García-Garví, Antonio, Layana-Castro, Pablo E., Puchalt, Joan Carles, Sánchez-Salmerón, Antonio-José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589381/
https://www.ncbi.nlm.nih.gov/pubmed/37867965
http://dx.doi.org/10.1016/j.csbj.2023.10.007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589381/
https://www.ncbi.nlm.nih.gov/pubmed/37867965
http://dx.doi.org/10.1016/j.csbj.2023.10.007

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