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Use of a High-throughput In Vitro Microfluidic System to Develop Oral Multi-species Biofilms
Published on: December 1, 2014
Microscope-based imaging platform for large-scale analysis of oral biofilms
L Karygianni1, M Follo, E Hellwig
1Department of Operative Dentistry and Periodontology, Albert Ludwigs University, Freiburg, Germany.
Applied and Environmental Microbiology
|October 9, 2012
Summary
A new automated microscopy method noninvasively monitors oral biofilms on bovine enamel surfaces. This technique allows for efficient visualization and quantification of bacterial composition, revealing biofilm distribution and coverage changes over time.
Area of Science:
- Oral microbiology
- Microscopy techniques
- Biofilm analysis
Background:
- Oral biofilms are complex microbial communities crucial for dental health.
- Understanding biofilm spatial distribution and composition is essential for targeted interventions.
- Current methods for biofilm analysis have limitations in scale and automation.
Purpose of the Study:
- To develop a microscopic method for noninvasive, macroscale monitoring of oral biofilms.
- To describe the spatial distribution and bacterial composition of oral biofilms on bovine enamel surfaces (BES).
- To evaluate an automated imaging platform for biofilm analysis.
Main Methods:
- Oral biofilms were grown in situ on BES in acrylic devices worn by a volunteer for 3 or 5 days.
- Specific bacteria (Eubacteria, Streptococcus spp., Fusobacterium nucleatum) were stained using fluorescence in situ hybridization (FISH) probes.
- Images were acquired using confocal laser scanning microscopy (CLSM) and an automated wide-field microscope-based imaging platform (Scan∧R), followed by automated image processing and statistical analysis.
Main Results:
- Automated image processing revealed a random distribution of bacteria across BES.
- Biofilm coverage increased significantly from 47.26% at 3 days to 84.45% at 5 days.
- Posterior enamel surfaces showed higher suitability for biofilm examination within 3 days.
Conclusions:
- Automated microscopy combined with FISH enables efficient visualization and quantification of oral biofilm composition.
- The Scan∧R platform overcomes conventional CLSM limitations, offering automation for comprehensive sample surface analysis.
- This method provides a powerful tool for studying oral biofilm dynamics and spatial heterogeneity.
