Comparison of imaging flow cytometry and microscopy for freshwater algal bloom detection
Author:
Affiliation:
1. U.S. Geological Survey, Troy, NY, USA
2. PhycoTech, Inc, St. Joseph, MI, USA
Funder
U.S. Geological Survey
New York State Department of Environmental Conservation
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/10402381.2024.2370828
Reference46 articles.
1. American Public Health Association. 2022. Standard methods for the examination of water and wastewater. 23rd ed. Washington (DC): American Public Health Association.
2. Anderson C. 2023. CA imaging FlowCytobot network. Southern California Coastal Ocean Observing System. https://sccoos.org/ifcb/.
3. Chapter A7. Section 7.4. Algal biomass indicators
4. Borchers HW. 2022. pracma: practical numerical math functions. R package version 2.3.8; [cited 24 Aug 2022]. Available from https://CRAN.R-project.org/package=pracma
5. Continuous automated imaging-in-flow cytometry for detection and early warning of Karenia brevis blooms in the Gulf of Mexico
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