期刊
CYTOMETRY PART A
卷 83A, 期 6, 页码 561-567出版社
WILEY
DOI: 10.1002/cyto.a.22286
关键词
automated pattern analysis; person-independent data evaluation; bacterial communities; microbial community dynamics; DNA pattern analysis; bioprocesses
资金
- Helmholtz Impulse and Networking Fund [through Helmholtz Interdisciplinary Graduate School for Environmental Research (HIGRADE)]
Altering environmental conditions change structures of microbial communities. These effects have an impact on the single-cell level and can be sensitively detected using community flow cytometry. However, although highly accurate, microbial monitoring campaigns are still rarely performed applying this technique. One reason is the limited access to pattern analysis approaches for the evaluation of microbial cytometric data. In this article, a new analyzing tool, Cytometric Histogram Image Comparison (CHIC), is presented, which realizes trend interpretation of variations in microbial community structures (i) without any previous definition of gates, by working (ii) person independent, and (iii) with low computational demand. Various factors influencing a sensitive determination of changes in community structures were tested. The sensitivity of this technique was found to discriminate down to 0.5% internal variation. The final protocol was exemplarily applied to a complex microbial community dataset, and correlations to experimental variation were successfully shown. (c) 2013 International Society for Advancement of Cytometry
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