Optimizing FlowCam Imaging Flow Cytometry Operation for Classification and Quantification of Microcystis Morphospecies

Dmitry Malashenkov; Veronika Dashkova; Ivan A Vorobjev; Natasha S Barteneva

doi:10.1007/978-1-0716-3020-4_14

Optimizing FlowCam Imaging Flow Cytometry Operation for Classification and Quantification of Microcystis Morphospecies

Methods Mol Biol. 2023:2635:245-258. doi: 10.1007/978-1-0716-3020-4_14.

Authors

Dmitry Malashenkov¹, Veronika Dashkova², Ivan A Vorobjev^{1

3}, Natasha S Barteneva^{1

4

5}

Affiliations

¹ Department of Biology, School of Sciences and Humanities, Nazarbayev University, Astana, Kazakhstan.
² PhD Program in Science, Engineering and Technology, Nazarbayev University, Astana, Kazakhstan.
³ National Laboratory Astana, Nazarbayev University, Astana, Kazakhstan.
⁴ Brigham Women's Hospital, Harvard University, Boston, MA, USA.
⁵ The EREC, Nazarbayev University, Astana, Kazakhstan.

PMID: 37074667
DOI: 10.1007/978-1-0716-3020-4_14

Abstract

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.

Keywords: CyanoHABs; Cyanobacteria; FlowCam; Imaging flow cytometry; Microcystis; Phytoplankton.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Cyanobacteria*
Flow Cytometry / methods
Microcystis*
Microscopy