Semi-automated classification of colonial Microcystis by FlowCAM imaging flow cytometry in mesocosm experiment reveals high heterogeneity during seasonal bloom
Abstract 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...
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Autores principales: | Yersultan Mirasbekov, Adina Zhumakhanova, Almira Zhantuyakova, Kuanysh Sarkytbayev, Dmitry V. Malashenkov, Assel Baishulakova, Veronika Dashkova, Thomas A. Davidson, Ivan A. Vorobjev, Erik Jeppesen, Natasha S. Barteneva |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/8ea195a6aa8940738d6084217ff462e1 |
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