Quantifying cell densities and biovolumes of phytoplankton communities and functional groups using scanning flow cytometry, machine learning and unsupervised clustering

Scanning flow cytometry (SFCM) is characterized by the measurement of time-resolved pulses of fluorescence and scattering, enabling the high-throughput quantification of phytoplankton morphology and pigmentation. Quantifying variation at the single cell and colony level improves our ability to under...

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Detalles Bibliográficos
Autores principales: Thomas, Mridul K., Fontana, Simone, Reyes, Marta, Pomati, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5945019/
https://www.ncbi.nlm.nih.gov/pubmed/29746500
http://dx.doi.org/10.1371/journal.pone.0196225

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5945019/
https://www.ncbi.nlm.nih.gov/pubmed/29746500
http://dx.doi.org/10.1371/journal.pone.0196225

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