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Automated immunofluorescence for enumeration of selected taxa in supragingival dental plaque.


Gmür, R; Guggenheim, B; Giertsen, E; Thurnheer, T (2000). Automated immunofluorescence for enumeration of selected taxa in supragingival dental plaque. European Journal of Oral Sciences, 108(5):393-402.

Abstract

The present study investigated a recently developed automated image analysis technique for its applicability to the enumeration of selected bacteria in supragingival dental plaque. Following initial calibration, the system is capable to count fluorescence-labeled target cells in up to 48 samples without user interference. Test samples contained a characteristic mixture of planktonic bacteria, small almost planar bacterial aggregates, and large, virtually indisruptable clumps with cells from multiple species. Due to their complex composition, these samples provided a challenging validation step for the image analysis system. Automated enumeration of target bacteria was compared with visual counting of the fluorescence-labeled bacteria. Results are shown for six taxa (Actinomyces naeslundii, Fusobacterium nucleatum, Prevotella intermedia/Prev. nigrescens, Streptococcus gordonii/Strep. oralis/Strep. sanguis, Strep. sobrinus, and Veillonella dispar/ V. parvula) with characteristic differences in abundance, cell morphology and aggregation behavior. Results revealed good correspondence between the two enumeration techniques (correlation coefficients ranging from 0.77 to 0.92) provided that the portion of target bacteria exceeded 0.05% of the total bacterial cell number. This work demonstrates the applicability and usefulness of fully automated immunofluorescence to analyze such complex ecosystems as supragingival dental plaque.

The present study investigated a recently developed automated image analysis technique for its applicability to the enumeration of selected bacteria in supragingival dental plaque. Following initial calibration, the system is capable to count fluorescence-labeled target cells in up to 48 samples without user interference. Test samples contained a characteristic mixture of planktonic bacteria, small almost planar bacterial aggregates, and large, virtually indisruptable clumps with cells from multiple species. Due to their complex composition, these samples provided a challenging validation step for the image analysis system. Automated enumeration of target bacteria was compared with visual counting of the fluorescence-labeled bacteria. Results are shown for six taxa (Actinomyces naeslundii, Fusobacterium nucleatum, Prevotella intermedia/Prev. nigrescens, Streptococcus gordonii/Strep. oralis/Strep. sanguis, Strep. sobrinus, and Veillonella dispar/ V. parvula) with characteristic differences in abundance, cell morphology and aggregation behavior. Results revealed good correspondence between the two enumeration techniques (correlation coefficients ranging from 0.77 to 0.92) provided that the portion of target bacteria exceeded 0.05% of the total bacterial cell number. This work demonstrates the applicability and usefulness of fully automated immunofluorescence to analyze such complex ecosystems as supragingival dental plaque.

Citations

15 citations in Web of Science®
18 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed
Communities & Collections:04 Faculty of Medicine > Center for Dental Medicine > Institute of Oral Biology
Dewey Decimal Classification:610 Medicine & health
Language:English
Date:1 October 2000
Deposited On:11 Feb 2008 12:24
Last Modified:05 Apr 2016 12:19
Publisher:Wiley-Blackwell
ISSN:0909-8836
Publisher DOI:10.1034/j.1600-0722.2000.108005393.x
PubMed ID:11037755

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