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Combining high-throughput imaging flow cytometry and deep learning for efficient species and life-cycle stage identification of phytoplankton
BACKGROUND: Phytoplankton species identification and counting is a crucial step of water quality assessment. Especially drinking water reservoirs, bathing and ballast water need to be regularly monitored for harmful species. In times of multiple environmental threats like eutrophication, climate war...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276140/ https://www.ncbi.nlm.nih.gov/pubmed/30509239 http://dx.doi.org/10.1186/s12898-018-0209-5 |