Detection and Discrimination of Bacterial Colonies With Mueller Matrix Imaging Publisher Pubmed



Badieyan S¹ ; Dilmaghanimarand A² ; Hajipour MJ^{2, 3} ; Ameri A¹ ; Razzaghi MR⁴ ; Rafiitabar H¹ ; Mahmoudi M⁵ ; Sasanpour P^{1, 6} Show Affiliations
Source: Scientific Reports Published:2018

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. © 2018 The Author(s).