Environmental Engineering Research

  • 제24권3호
  • /
  • Pages.397-403
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  • 2019
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  • 1226-1025(pISSN)
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  • 2005-968X(eISSN)
대한환경공학회 (Korean Society of Environmental Engineers)
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A novel method for cell counting of Microcystis colonies in water resources using a digital imaging flow cytometer and microscope

  • Park, Jungsu (Water Quality Research Center, Korea Water Resources Corporation) ;
  • Kim, Yongje (Department of Civil, Environmental and Construction Engineering, University of Central Florida) ;
  • Kim, Minjae (School of Life Science, Kyungbook National University) ;
  • Lee, Woo Hyoung (Department of Civil, Environmental and Construction Engineering, University of Central Florida)
  • 투고 : 2018.07.31
  • 심사 : 2018.09.30
  • 발행 : 2019.09.30
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초록

Microcystis sp. is one of the most common harmful cyanobacteria that release toxic substances. Counting algal cells is often used for effective control of harmful algal blooms. However, Microcystis sp. is commonly observed as a colony, so counting individual cells is challenging, as it requires significant time and labor. It is urgent to develop an accurate, simple, and rapid method for counting algal cells for regulatory purposes, estimating the status of blooms, and practicing proper management of water resources. The flow cytometer and microscope (FlowCAM), which is a dynamic imaging particle analyzer, can provide a promising alternative for rapid and simple cell counting. However, there is no accurate method for counting individual cells within a Microcystis colony. Furthermore, cell counting based on two-dimensional images may yield inaccurate results and underestimate the number of algal cells in a colony. In this study, a three-dimensional cell counting approach using a novel model algorithm was developed for counting individual cells in a Microcystis colony using a FlowCAM. The developed model algorithm showed satisfactory performance for Microcystis sp. cell counting in water samples collected from two rivers, and can be used for algal management in fresh water systems.

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참고문헌

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피인용 문헌

  1. Dual-Modality Imaging Microfluidic Cytometer for Onsite Detection of Phytoplankton vol.8, pp.10, 2019, https://doi.org/10.3390/photonics8100435