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A review of microscopic cell imaging and neural network recognition for synergistic cyanobacteria identification and enumeration
Real-time cyanobacteria/algal monitoring is a valuable tool for early detection of harmful algal blooms, water treatment efficacy evaluation, and assists tailored water quality risk assessments by considering taxonomy and cell counts. This review evaluates and proposes a synergistic approach using n...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Singapore
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938360/ https://www.ncbi.nlm.nih.gov/pubmed/35286640 http://dx.doi.org/10.1007/s44211-021-00013-2 |