Departement of Environmental Science, Kangwon National University, Chuncheon 200-701, Republic of Korea.
Appl Environ Microbiol. 2010 Mar;76(6):1981-91. doi: 10.1128/AEM.01724-09. Epub 2010 Jan 22.
To assess interchangeability of estimates of bacterial abundance by different epifluorescence microscopy methods, total bacterial numbers (TBNs) determined by most widely accepted protocols were statistically compared. Bacteria in a set of distinctive samples were stained with acridine orange (AO), 4'-6-diamidino-2-phenylindole (DAPI), and BacLight and enumerated by visual counting (VC) and supervised image analysis (IA). Model II regression and Bland-Altman analysis proved general agreements between IA and VC methods, although IA counts tended to be lower than VC counts by 7% on a logarithmic scale. Distributions of cells and latex beads on polycarbonate filters were best fitted to negative binomial models rather than to Poisson or log-normal models. The fitted models revealed higher precisions of TBNs by the IA method than those by the VC method. In pairwise comparisons of the staining methods, TBNs by AO and BacLight staining showed good agreement with each other, but DAPI staining had tendencies of underestimation. Although precisions of the three staining methods were comparable to one another (intraclass correlation coefficients, 0.97 to 0.98), accuracy of the DAPI staining method was rebutted by disproportionateness of TBNs between pairs of samples that carried 2-fold different volumes of identical cell suspensions. It was concluded that the TBN values estimated by AO and BacLight staining are relatively accurate and interchangeable for quantitative interpretation and that IA provides better precision than does VC. As a prudent measure, it is suggested to avoid use of DAPI staining for comparative studies investigating accuracy of novel cell-counting methods.
为了评估不同荧光显微镜方法估计细菌丰度的可互换性,对最广泛接受的方案确定的总细菌数(TBN)进行了统计学比较。用吖啶橙(AO)、4'-6-二脒基-2-苯基吲哚(DAPI)和 BacLight 对一组独特样本中的细菌进行染色,并用目视计数(VC)和监督图像分析(IA)进行计数。模型 II 回归和 Bland-Altman 分析证明了 IA 和 VC 方法之间的一般一致性,尽管 IA 计数对数尺度上比 VC 计数低 7%。细胞和乳胶珠在聚碳酸酯滤膜上的分布最适合负二项式模型,而不是泊松或对数正态模型。拟合模型显示,IA 法比 VC 法对 TBN 的精度更高。在染色方法的两两比较中,AO 和 BacLight 染色的 TBN 彼此之间具有良好的一致性,但 DAPI 染色有低估的趋势。尽管三种染色方法的精度彼此相当(组内相关系数为 0.97 至 0.98),但由于两对样本的 TBN 不成比例,即携带相同细胞悬浮液 2 倍体积的样本之间,DAPI 染色方法的准确性受到质疑。结论是,AO 和 BacLight 染色估计的 TBN 值相对准确且可互换,用于定量解释,并且 IA 比 VC 提供更好的精度。作为一项谨慎措施,建议避免在研究新型细胞计数方法准确性的比较研究中使用 DAPI 染色。