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Optimizing FlowCam Imaging Flow Cytometry Operation for Classification and Quantification of Microcystis Morphospecies.
Malashenkov, Dmitry; Dashkova, Veronika; Vorobjev, Ivan A; Barteneva, Natasha S.
Afiliação
  • Malashenkov D; Department of Biology, School of Sciences and Humanities, Nazarbayev University, Astana, Kazakhstan.
  • Dashkova V; PhD Program in Science, Engineering and Technology, Nazarbayev University, Astana, Kazakhstan.
  • Vorobjev IA; Department of Biology, School of Sciences and Humanities, Nazarbayev University, Astana, Kazakhstan.
  • Barteneva NS; National Laboratory Astana, Nazarbayev University, Astana, Kazakhstan.
Methods Mol Biol ; 2635: 245-258, 2023.
Article em En | MEDLINE | ID: mdl-37074667
Microcystis is a globally known cyanobacterium causing potentially toxic blooms worldwide. Different morphospecies with specific morphological and physiological characters usually co-occur during blooming, and their quantification employing light microscopy can be time-consuming and problematic. A benchtop imaging flow cytometer (IFC) FlowCam (Yokogawa Fluid Imaging Technologies, USA) was used to identify and quantitate different Microcystis morphospecies from environmental samples. We describe here the FlowCam methodology for sample processing and analysis of five European morphospecies of Microcystis common to the temperate zone. The FlowCam technique allows detection of different Microcystis morphospecies providing objective qualitative and quantitative data for statistical analysis.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cianobactérias / Microcystis Tipo de estudo: Qualitative_research Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cianobactérias / Microcystis Tipo de estudo: Qualitative_research Idioma: En Ano de publicação: 2023 Tipo de documento: Article