ArticleScientific reports2019
Bacterial Density and Biofilm Structure Determined by Optical Coherence Tomography.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Capillary microfluidics aided single-cell manipulation for optical detection of bacterial pathogens.Biophysical reviews · 2026Review
- UnderstandingMicroorganisms · 2026Review
- HIV-1 interactions with sialic acid-binding bacterial lectins promote virus infectivityFrontiers in cellular and infection microbiology · 2026Article
- Trypan Blue Image-Guided Removal of Surface-Based Bacterial Biofilms from Chicken Tissue Using Cold Atmospheric Pressure Plasma.Plasma (Basel, Switzerland) · 2025Article
- Optical coherence tomography for label-free detection and characterization of methicillin-resistantJournal of biomedical optics · 2025Article
- Resolving spatiotemporal dynamics in bacterial multicellular populations: approaches and challenges.Microbiology and molecular biology reviews : MMBR · 2025Review
- Three-Dimensional Assessment of Dental Enamel Microcrack Progression After Orthodontic Bracket Debonding Using Optical Coherence Tomography.Journal of functional biomaterials · 2024Article
- Autofluorescence-guided Removal of Bacterial Biofilms from Tissues Using Cold Atmospheric Pressure Plasma (CAP).IEEE transactions on radiation and plasma medical sciences · 2024Article
- Mass transfer in heterogeneous biofilms: Key issues in biofilm reactors and AI-driven performance prediction.Environmental science and ecotechnology · 2024Review
- 3D Optical Coherence Tomography image processing in BISCAP: characterization of biofilm structure and properties.Bioinformatics (Oxford, England) · 2024Article
- Selective Optical Imaging for Detection of Bacterial Biofilms in Tissues.Journal of imaging · 2023Article
- ROS generating BODIPY loaded nanoparticles for photodynamic eradication of biofilms.Frontiers in microbiology · 2023Article
- Biomass-specific rates as key performance indicators: A nitrogen balancing method for biofilm-based electrochemical conversion.Frontiers in bioengineering and biotechnology · 2023Article
- Assessment of the Antibiofilm Performance of Chitosan-Based Surfaces in Marine Environments.International journal of molecular sciences · 2022Article
- Article
- 3D Printed Microfluidic Bioreactors Used for the Preferential Growth of Bacterial Biofilms through Dielectrophoresis.Micromachines · 2022Article
- The response of dual-species bacterial biofilm to 2% and 5% NaOCl mixed with etidronic acid: A laboratory real-time evaluation using optical coherence tomography.International endodontic journal · 2022Article
- Differentiation of otitis media-causing bacteria and biofilmsFrontiers in cellular and infection microbiology · 2022Article
- Periodic chemical cleaning with urea: disintegration of biofilms and reduction of key biofilm-forming bacteria from reverse osmosis membranes.Water research X · 2021Article
- Unveiling the Antifouling Performance of Different Marine Surfaces and Their Effect on the Development and Structure of Cyanobacterial Biofilms.Microorganisms · 2021Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Optical-coherence-tomography (OCT) is a non-destructive tool for biofilm imaging, not requiring staining, and used to measure biofilm thickness and putative comparison of biofilm structure based on signal intensity distributions in OCT-images. Quantitative comparison of biofilm signal intensities in OCT-images, is difficult due to the auto-scaling applied in OCT-instruments to ensure optimal quality of individual images. Here, we developed a method to eliminate the influence of auto-scaling in order to allow quantitative comparison of biofilm densities in different images. Auto- and re-scaled signal intensities could be qualitatively interpreted in line with biofilm characteristics for single and multi-species biofilms of different strains and species (cocci and rod-shaped organisms), demonstrating qualitative validity of auto- and re-scaling analyses. However, specific features of pseudomonas and oral multi-species biofilms were more prominently expressed after re-scaling. Quantitative validation was obtained by relating average auto- and re-scaled signal intensities across biofilm images with volumetric-bacterial-densities in biofilms, independently obtained using enumeration of bacterial numbers per unit biofilm volume. The signal intensities in auto-scaled biofilm images did not significantly relate with volumetric-bacterial-densities, whereas re-scaled intensities in images of biofilms of widely different strains and species increased linearly with independently determined volumetric-bacterial-densities in the biofilms. Herewith, the proposed re-scaling of signal intensity distributions in OCT-images significantly enhances the possibilities of biofilm imaging using OCT.
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