Semi-automated classification of colonial Microcystis by FlowCAM imaging flow cytometry in mesocosm experiment reveals high heterogeneity during seasonal bloom

A machine learning approach was employed to detect and quantify Microcystis colonial morphospecies using FlowCAM-based imaging flow cytometry. The system was trained and tested using samples from a long-term mesocosm experiment (LMWE, Central Jutland, Denmark). The statistical validation of the clas...

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Detalles Bibliográficos
Autores principales: Mirasbekov, Yersultan, Zhumakhanova, Adina, Zhantuyakova, Almira, Sarkytbayev, Kuanysh, Malashenkov, Dmitry V., Baishulakova, Assel, Dashkova, Veronika, Davidson, Thomas A., Vorobjev, Ivan A., Jeppesen, Erik, Barteneva, Natasha S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8087837/
https://www.ncbi.nlm.nih.gov/pubmed/33931681
http://dx.doi.org/10.1038/s41598-021-88661-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8087837/
https://www.ncbi.nlm.nih.gov/pubmed/33931681
http://dx.doi.org/10.1038/s41598-021-88661-2

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