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

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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Portfolio 2021-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-88661-2

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https://doi.org/10.1038/s41598-021-88661-2

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