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Application of Most-Probable-Number Statistics to Direct Enumeration of Microorganisms

机译:最大概率数统计在微生物直接枚举中的应用

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摘要

A novel method for rapid determination of total microbial cell numbers was investigated. The method involves the application of most-probable-number estimation statistics to direct microscopic counting of microbial cells by using a particle sizing graticule. Its accuracy and reliability were tested with computer simulations of bacterial cell distributions encountered in ecological studies. Good estimates of cell numbers were obtained when the cell density varied from 3 to 6,000 cells per field, i.e., over 3 orders of magnitude. Low levels of contagion did not markedly influence cell estimates, although high levels, corresponding to discrete scattered microcolonies, did. However, these could be recognized visually. Estimates of cell numbers in Breed smears confirmed its speed and good correlation with the standard quadrat counting technique under real experimental conditions.
机译:研究了一种快速测定微生物总数的新方法。该方法涉及应用最可能数量的估计统计量,以通过使用颗粒大小刻度来对微生物细胞进行显微镜计数。通过计算机模拟生态研究中遇到的细菌细胞分布,测试了其准确性和可靠性。当细胞密度在每个视野中从3到6,000个细胞变化时,即超过3个数量级时,可以很好地估计细胞数。低水平的传染不会显着影响细胞的估计,尽管高水平的传染却与离散的微殖民地相对应。但是,这些可以在视觉上识别。在真实的实验条件下,对繁殖涂片中细胞数量的估计证实了它的速度,并且与标准的平方计数技术具有良好的相关性。

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