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On the application of multi-parametric optical phenotyping of bacterial colonies for multipurpose microbiological diagnostics
- Source :
- Biosensors and Bioelectronics. 172:112761
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- The development of new diagnostics techniques and modalities is critical for early detection of microbial contamination. In this study, the novel integrated system for multi-parametric optical phenotyping and characterization of bacterial colonies, is presented. The system combines Mach-Zehnder interferometer with a spectral imaging system for capturing multispectral diffraction patterns and multispectral two-dimensional transmission maps of bacterial colonies, along with the simultaneous interferometric profilometry. The herein presented investigation was carried out on five representative bacteria species and nearly 3000 registered multispectral optical signatures. The interferograms were analyzed by four-step phase shift algorithm to reconstruct the colony profile to enable the obtaining of the comparable optical signatures. The dedicated image processing algorithms were used for extraction of quantitative features of these signatures. The random forest algorithm was applied for selection of the most predictive set of features, which were used in classification model based on Support-Vector Machine. Obtained results have shown that the use of multiple multispectral optical signatures provide a multi-parametric bacteria identification at an exceptionally high accuracy (99.4–100%), significantly better than in case of classification based on each of these signatures (multispectral diffraction patterns, two-dimensional transmission coefficient maps), separately. Obtained results revealed that analysis of multispectral signatures can also be applied for characterisation of physical, physicochemical and chemical properties of the bacterial colonies in the presence of the antimicrobial factors. Therefore, the proposed label-free, non-destructive optical technique has perspectives to be exploited in the multipurpose diagnostics and it can be used as a pre-screening tool in microbiological laboratories.
- Subjects :
- medicine.medical_specialty
Computer science
Multispectral image
Biomedical Engineering
Biophysics
Biosensing Techniques
02 engineering and technology
01 natural sciences
Digital image processing
Image Processing, Computer-Assisted
Electrochemistry
medicine
Remote sensing
Bacteria
010401 analytical chemistry
General Medicine
021001 nanoscience & nanotechnology
0104 chemical sciences
Spectral imaging
Random forest
Interferometry
Transmission (telecommunications)
Pattern recognition (psychology)
Profilometer
0210 nano-technology
Algorithms
Biotechnology
Subjects
Details
- ISSN :
- 09565663
- Volume :
- 172
- Database :
- OpenAIRE
- Journal :
- Biosensors and Bioelectronics
- Accession number :
- edsair.doi.dedup.....3c2822976e4585c35a191576211310a8
- Full Text :
- https://doi.org/10.1016/j.bios.2020.112761