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...

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Detalles Bibliográficos
Autores principales: Dunker, Susanne, Boho, David, Wäldchen, Jana, Mäder, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
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

Internet

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

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