Paper
27 April 2009 Prediction of the light scattering patterns from bacteria colonies by a time-resolved reaction-diffusion model and the scalar diffraction theory
Euiwon Bae, Nan Bai, Amornrat Aroonnual, Arun K. Bhunia, J. Paul Robinson, E. Daniel Hirleman
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Abstract
In order to maximize the utility of the optical scattering technology in the area of bacterial colony identification, it is necessary to have a thorough understanding of how bacteria species grow into different morphological aggregation and subsequently function as distinctive optical amplitude and phase modulators to alter the incoming Gaussian laser beam. In this paper, a 2-dimentional reaction-diffusion (RD) model with nutrient concentration, diffusion coefficient, and agar hardness as variables is investigated to explain the correlation between the various environmental parameters and the distinctive morphological aggregations formed by different bacteria species. More importantly, the morphological change of the bacterial colony against time is demonstrated by this model, which is able to characterize the spatio-temporal patterns formed by the bacteria colonies over their entire growth curve. The bacteria population density information obtained from the RD model is mathematically converted to the amplitude/phase modulation factor used in the scalar diffraction theory which predicts the light scattering patterns for bacterial colonies. The conclusions drawn from the RD model combined with the scalar diffraction theory are useful in guiding the design of the optical scattering instrument aiming at bacteria colony detection and classification.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Euiwon Bae, Nan Bai, Amornrat Aroonnual, Arun K. Bhunia, J. Paul Robinson, and E. Daniel Hirleman "Prediction of the light scattering patterns from bacteria colonies by a time-resolved reaction-diffusion model and the scalar diffraction theory", Proc. SPIE 7315, Sensing for Agriculture and Food Quality and Safety, 73150A (27 April 2009); https://doi.org/10.1117/12.818855
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Cited by 2 scholarly publications.
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KEYWORDS
Bacteria

Scattering

Mathematical modeling

Diffraction

Diffusion

Light scattering

Laser scattering

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