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A New Method for Qualitative Multi-scale Analysis of Bacterial Biofilms on Filamentous Fungal Colonies Using Confocal and Electron Microscopy
Published on: January 25, 2017
Design and validation of a novel quantitative method for rapid bacterial enumeration using programmed stage movement
David L Sanders1, Peter Bond, Roy Moate
1Department of Upper GI Surgery, The Royal Cornwall Hospital, Truro, UK. dsanders@doctors.org.uk
Journal of Microbiological Methods
|October 9, 2012
Summary
A new scanning electron microscopy method rapidly quantifies bacteria on surgical meshes. Five cumulative counts accurately estimate bacterial load, saving significant time in implant infection research.
Area of Science:
- Biomedical Engineering
- Microbiology
- Materials Science
Background:
- Bacterial adhesion to surgical implants initiates infection.
- Accurate bacterial enumeration is crucial for studying implant colonization.
- Current direct visualization methods are time-consuming.
Purpose of the Study:
- To develop and validate a rapid method for enumerating bacteria on porous implant surfaces.
- To compare a novel scanning electron microscopy (SEM) technique with absolute bacterial counts.
- To assess the efficiency of this method for surgical mesh analysis.
Main Methods:
- Utilized programmed stage movement SEM for bacterial enumeration on porous materials.
- Tested the method on three commercial abdominal wall hernia repair meshes.
- Used three different inoculums of Staphylococcus epidermidis.
- Compared cumulative bacterial counts with absolute counts.
Main Results:
- A significant correlation was found between cumulative counts and absolute counts after five cumulative counts.
- The novel method demonstrated time savings of approximately 1 hour and 9 minutes per mesh.
- The method proved effective across different meshes and bacterial concentrations.
Conclusions:
- Automated SEM stage control enables rapid bacterial data acquisition.
- Five cumulative SEM counts provide a valid quantitative method for enumerating bacteria on porous surfaces up to 1.3 mm pore size.
- This technique offers a faster alternative for bacterial quantification in implant infection studies.
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