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“School of Nano-Sciences”

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Paper   IPM / Nano-Sciences / 15285
School of Nano Science
  Title:   Detection and Discrimination of Bacterial Colonies with Mueller Matrix Imaging
  Author(s): 
1.  Saeedesadat Badieyan
2.  Arezou Dilmaghani-Marand
3.  Mohammad Javad Hajipour
4.  Ali Ameri
5.  Mohammad Reza Razzaghi
6.  Hashem Rafii-Tabar
7.  Morteza Mahmoudi
8.  Pezhman Sasanpour
  Status:   Published
  Journal: Scientific Reports
  Vol.:  8
  Year:  2018
  Pages:   10815
  Supported by:  IPM
  Abstract:
The polarization imaging technique is a powerful approach to probe microstructural and optical information of biological structures (e.g., tissue samples). Here, we have studied the polarization properties of different bacterial colonies in order to evaluate the possibility of bacterial detection and discrimination. In this regard, we have taken the backscattering Mueller matrix images of four different bacteria colonies (i.e., Escherichia coli, Lactobacillus rhamnosus, Rhodococcus erythropolis, and Staphylococcus aureus). Although the images have the potential to distinguish qualitatively different bacterial colonies, we explored more accurate and quantitative parameters criteria for discrimination of bacterial samples; more specifically, we have exploited the Mueller matrix polar decomposition (MMPD),frequency distribution histogram (FDH), and central moment analysis method. The outcomes demonstrated a superior capacity of Mueller matrix imaging, MMPD, and FDH in bacterial colonies identification and discrimination. This approach might pave the way for a reliable, efficient, and cheap way of identification of infectious diseases.

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