(半)自动识别水中微生物

K. Rodenacker, P. Gais, U. Jütting, B. Hense
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引用次数: 9

摘要

生物群落结构是反映生态系统质量状况和变化的有力指标。微生物种群的鉴定和量化能够评估任何应激源对其产生的影响。本文提出了一种利用自动图像采集、评价和识别的方法,以减轻人工显微镜下生物识别和计数的耗时问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
(Semi-)automatic recognition of microorganisms in water
The structure of biocenosis is a powerful indicator for the condition of and changes in the quality of the ecosystem. Identification and quantification of populations of microorganisms enables an assessment of the effect of any stressor on it. A method and some results are presented using automatic image acquisition, evaluation and recognition to ease the time consuming part of manual organism recognition and counting at the microscope.
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