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Development of the Correction Algorithm to Limit the Deformation of Bacterial Colonies Diffraction Patterns Caused by Misalignment and Its Impact on the Bacteria Identification in the Proposed Optical Biosensor

1
Bio-Optics Group, Department of Biomedical Engineering, Faculty of Fundamental Problems of Technology, Wrocław University of Science and Technology, 27 Wybrzeże S. Wyspiańskiego St., 50-370 Wrocław, Poland
2
QUANTUP, 30/9 Litewska St., 51-354 Wrocław, Poland
3
Department of Epizootiology and Veterinary Administration with Clinic of Infectious Diseases, Faculty of Veterinary Medicine, Wrocław University of Environmental and Life Science, 45 Grunwaldzki Square, 50-366 Wrocław, Poland
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(20), 5797; https://doi.org/10.3390/s20205797
Received: 24 August 2020 / Revised: 7 October 2020 / Accepted: 9 October 2020 / Published: 13 October 2020
(This article belongs to the Section Biosensors)
Recently proposed methods of bacteria identification in optical biosensors based on the phenomenon of light diffraction on macro-colonies offer over 98% classification accuracy. However, such high accuracy relies on the comparable and repeatable spatial intensity distribution of diffraction patterns. Therefore, it is essential to eliminate all non-species/strain-dependent factors affecting the diffraction patterns. In this study, the impact of the bacterial colony and illuminating beam misalignment on the variation of classification features extracted from diffraction patterns was examined. It was demonstrated that misalignment introduced by the scanning module significantly affected diffraction patterns and extracted classification features used for bacteria identification. Therefore, it is a crucial system-dependent factor limiting the identification accuracy. The acceptable misalignment level, when the accuracy and quality of the classification features are not affected, was determined as no greater than 50 µm. Obtained results led to development of image-processing algorithms for determination of the direction of misalignment and concurrent alignment of the bacterial colonies’ diffraction patterns. The proposed algorithms enable the rigorous monitoring and controlling of the measurement’s conditions in order to preserve the high accuracy of bacteria identification. View Full-Text
Keywords: optical biosensors; bacteria identification; misalignment optical biosensors; bacteria identification; misalignment
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MDPI and ACS Style

Buzalewicz, I.; Suchwałko, A.; Karwańska, M.; Wieliczko, A.; Podbielska, H. Development of the Correction Algorithm to Limit the Deformation of Bacterial Colonies Diffraction Patterns Caused by Misalignment and Its Impact on the Bacteria Identification in the Proposed Optical Biosensor. Sensors 2020, 20, 5797.

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