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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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
American Association for the Advancement of Science (AAAS)
2023-01-01
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| Col·lecció: | Computational and Structural Biotechnology Journal |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S200103702300363X |
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