Determination of the filamentous cyanobacteria Planktothrix rubescens in environmental water samples using an image processing system
Determination of the filamentous cyanobacteria Planktothrix rubescens in environmental water samples using an image processing system
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DOI：
10.1016/j.hal.2005.08.003
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发表时间：
2006-04-01
期刊：
影响因子：
6.6
通讯作者：
Dietrich, DR
中科院分区：
文献类型：
--
作者：
Ernst, B;Neser, S;Dietrich, DR
蓝藻发生在世界各地的地表水中。其中许多会产生多肽和/或生物碱，对动物和人类健康构成威胁。有效的风险评估和管理需要持续和精确的蓝藻细胞密度的观察和量化。在这方面，丝状浮游thrix物种的量化是有问题的。本研究的目的是建立一套利用图像处理技术对丝状浮游蓟马进行自动计数的系统。此外，本研究旨在评估最佳样品体积和灯丝密度对测量精度的影响，并验证冬凌草图像处理测量的有效风险评估。采用硝化纤维素过滤法，采集了3个环境样品和1个培养样品。用荧光显微镜结合全图像处理器测定灯丝长度。细胞密度可以从得到的图像中计算出来。通过荧光特性可以很容易地将蓝藻与藻类区分开来。结果发现与图像采集方式无关。总灯丝长度测定的精度取决于过滤器上的总灯丝长度，即对于每毫米含有200020,000 μ m灯丝的过滤器，可以预期最高精度的分析(2)。当使用合适的过滤体积时，所述方法的检出限足以进行所有有效的风险评估。总之，该方法是一种快速、简便、准确的测定水样中丝状rubbescens细胞密度的方法，无需昂贵且繁琐的人工操作。(c) 2005 Elsevier B.V.版权所有
Cyanobacteria occur ill Surface Waters worldwide. Many of these produce peptides and/or alkaloids, which call present a risk For animal and human health. Effective risk assessment and management requires continuous and precise observation and quantification of cyanobacterial cell densities. In this respect, quantification of filamentous Planktothrix species is problematic. The aim of this study was to develop an automated system to Count filamentous Planktothrix rubescens using image processing. Furthermore, this study aimed to assess Optimum sample Volumes and filament density for Measurement precision and to validate image processing measurement of P. rubescens for an effective risk assessment. Three environmental samples and one Cultured sample of P rubescens were collected by filtration Onto nitrocellulose filters. Filament lengths were determined using fluorescence microscopy combined with all image processor. Cell density could be calculated from the resulting images. Cyanobacteria Could easily be discriminated From algae via their fluorescence properties. The results were found to be independent of the mode of image acquisition. The precision of total filament length determination was dependent oil the total filament length on the filter, i.e. analyses of highest Precision Could be expected for filters containing 200020,000 mu m filaments per mm(2). When using suitable filtration volumes, the detection limits of the described method are sufficient for all effective risk assessment. To summarise, this procedure is a fast, easy and accurate method to determine cell densities of filamentous P rubescens in water samples without costly and tedious manual handling. (c) 2005 Elsevier B.V. All rights reserved.