Back to Search
Start Over
A method for rapid quantitative assessment of biofilms with biomolecular staining and image analysis
- Source :
- Analytical and Bioanalytical Chemistry
- Publication Year :
- 2015
- Publisher :
- Springer Berlin Heidelberg, 2015.
-
Abstract
- The accumulation of bacteria in surface-attached biofilms can be detrimental to human health, dental hygiene, and many industrial processes. Natural biofilms are soft and often transparent, and they have heterogeneous biological composition and structure over micro- and macroscales. As a result, it is challenging to quantify the spatial distribution and overall intensity of biofilms. In this work, a new method was developed to enhance the visibility and quantification of bacterial biofilms. First, broad-spectrum biomolecular staining was used to enhance the visibility of the cells, nucleic acids, and proteins that make up biofilms. Then, an image analysis algorithm was developed to objectively and quantitatively measure biofilm accumulation from digital photographs and results were compared to independent measurements of cell density. This new method was used to quantify the growth intensity of Pseudomonas putida biofilms as they grew over time. This method is simple and fast, and can quantify biofilm growth over a large area with approximately the same precision as the more laborious cell counting method. Stained and processed images facilitate assessment of spatial heterogeneity of a biofilm across a surface. This new approach to biofilm analysis could be applied in studies of natural, industrial, and environmental biofilms. Graphical abstract A novel photographic method was developed to quantify bacterial biofilms. Broad spectrum biomolecular staining enhanced the visibility of the biofilms. Image analysis objectively and quantitatively measured biofilm accumulation from digital photographs. When compared to independent measurements of cell density the new method accurately quantified growth of Pseudomonas putida biofilms as they grew over time. The graph shows a comparison of biofilm quantification from cell density and image analysis. Error bars show standard deviation from three independent samples. Inset photographs show effect of staining Electronic supplementary material The online version of this article (doi:10.1007/s00216-015-9195-z) contains supplementary material, which is available to authorized users.
- Subjects :
- 0301 basic medicine
Biofouling
030106 microbiology
Analytical chemistry
Biofilm growth intensity
Biochemistry
Analytical Chemistry
Image analysis
03 medical and health sciences
Human health
Cell density
Quantitative assessment
Image Processing, Computer-Assisted
Humans
Pseudomonas Infections
Biofilm growth
Biomolecular stain
Staining and Labeling
Chemistry
Pseudomonas putida
Biofilm
Dental hygiene
biochemical phenomena, metabolism, and nutrition
Staining
Biofilms
Biological system
Algorithms
Research Paper
Subjects
Details
- Language :
- English
- ISSN :
- 16182650 and 16182642
- Volume :
- 408
- Database :
- OpenAIRE
- Journal :
- Analytical and Bioanalytical Chemistry
- Accession number :
- edsair.doi.dedup.....6d2e58f7ebd5a43c89fc64c9d1d07059