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A novel method for cell counting of Microcystis colonies in water resources using a digital imaging flow cytometer and microscope

机译:用数字成像流式细胞仪和显微镜对水资源中微囊藻菌落进行细胞计数的新方法

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摘要

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 HowCAM 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.
机译:微囊藻是释放有毒物质的最常见的有害蓝细菌之一。计数藻细胞通常用于有效控制有害藻华。然而,微囊藻。通常将其视为菌落,因此对单个细胞进行计数是一项挑战,因为它需要大量时间和劳力。迫切需要开发一种准确,简单,快速的方法来计算藻类细胞,以达到调节目的,估算水华的状态并进行适当的水资源管理。流式细胞仪和显微镜(FlowCAM)是一种动态成像颗粒分析仪,可以为快速而简单的细胞计数提供有希望的替代方法。但是,没有精确的方法来计数微囊藻菌落内的单个细胞。此外,基于二维图像的细胞计数可能会产生不准确的结果,并会低估菌落中藻类细胞的数量。在这项研究中,开发了一种使用新型模型算法的三维细胞计数方法,用于使用HowCAM对微囊藻菌落中的单个细胞进行计数。开发的模型算法显示出对微囊藻sp。令人满意的性能。从两条河流收集的水样中的细胞计数,可用于淡水系统中的藻类管理。

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