Автор бойынша School of Engineering and Digital Sciences көру "5d07d739-3d47-4e0a-92d3-d855ce03f24c"

Көрінетін элементтер 1-1 из 1

SEMI‑AUTOMATED CLASSIFCATION OF COLONIAL MICROCYSTIS BY FLOWCAM IMAGING FOW CYTOMETRY IN MESOCOSM EXPERIMENT REVEALS HIGH HETEROGENEITY DURING SEASONAL BLOOM

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. (Nature Research, 2021-04-30)

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 ...