Bacteria species identification by the statistical analysis of bacterial colonies Fresnel patterns

Optics Express (Impact Factor: 3.49). 05/2013; 21(9):11322-37. DOI: 10.1364/OE.21.011322
Source: PubMed


It was demonstrated that statistical analysis of bacteria colonies Fresnel patterns recorded in the optical system with converging spherical wave illumination is suitable for highly effective bacteria species classification. The proposed method includes Fresnel patterns recording followed by image processing and the statistical analysis based on feature extraction, feature selection, classification and classification performance methods. Examination performed on various bacteria species (Salmonella enteritidis, Staphylococcus aureus, Staphylococcus intermedius, Escherichia coli, Proteus mirabilis, Pseudomonas aeruginosa and Citrobacter freundii) revealed that the proposed method achieved very high accuracy of over 98%.

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Available from: Agnieszka Paulina Suchwałko, Oct 02, 2015
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    • "bacterial cells detection in water suspension by forward and backward light scattering [11], infrared [12] and fluorescence spectroscopy [13] [14] [15] [16], flow cytometry, chromatography, chemiluminescence [17], bioconjugated biomolecules [18] [19] or surface plasmon resonance (SPR) [20] [21] were proposed, as well. Although they offer the possibility of non-invasive, non-destructive and non-contact examination of bacterial samples, they exhibit similar disadvantages as previous techniques, including demanding time-consuming preparation of high quality samples and necessity of usage of the equipment with the high sensitivity and spectral resolution [9]. "
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    ABSTRACT: The challenge of developing fast and trustworthy method for bacteria identification has been taken by many research groups from all around the world but only two decided to develop methods based on the statistical analysis of forward light scattering on bacterial colonies grown on solid nutrient media. Optical methods contrary to other techniques offer many advantages such as non-destructive and non-contact bacteria identification, which allows application of different method on the same sample if identification confirmation is required e.g. in medical diagnostic procedures. Both mentioned above methods use dedicated optical systems for recording diffraction patterns of the bacterial colonies, construct set of numerical features calculated from the patterns and use statistical analysis for identification of unknown samples. The methods use different optical systems, different numerical features and different statistical analysis workflows and therefore obtain different results. In this chapter we will present a brief comparison of these two methods and a more detailed description of the one developed in our group.
    Microbial pathogens and strategies for combating them: science, technology and education, Edited by A. Méndez-Vilas, 12/2013: chapter Statistical identification of bacteria species: pages 711-721; Formatex Research Center., ISBN: 978-84-939843-9-7
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    ABSTRACT: The degeneration of Fraunhofer diffraction conditions in the optical system with converging spherical wave illumination for bacteria species identification based on diffraction patterns is analyzed by digital holographic methods. The obtained results have shown that the colonies of analyzed bacteria species act as biological lenses with the time-dependent light focusing properties, which are characterized and monitored by means of phase retrieval from sequentially captured digital holograms. This significantly affects the location of Fraunhofer patterns observation plane, which is continuously shifted across optical axis in time.
    Optics Express 11/2013; 21(22):26493-505. DOI:10.1364/OE.21.026493 · 3.49 Impact Factor
  • Biophysical Journal 01/2014; 106(2):604a. DOI:10.1016/j.bpj.2013.11.3342 · 3.97 Impact Factor
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