ArticleScientific reports2018
Detection and Discrimination of Bacterial Colonies with Mueller Matrix Imaging.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Diffraction order-engineered polarization-dependent silicon nano-antennas metagrating for compact subtissue Mueller microscopy.Nanophotonics (Berlin, Germany) · 2025Article
- Label-free distinction of implant infection-associated bacterial biofilms by Mueller matrix polarimetry.Journal of biomedical optics · 2025Article
- Impact of light polarization on laser speckle contrast imaging with a custom phantom for microvascular flow.Scientific reports · 2024Article
- Polarimetric imaging for the detection of synthetic models of SARS-CoV-2: A proof of concept.Journal of quantitative spectroscopy & radiative transfer · 2023Article
- Combined Mueller matrix imaging and artificial intelligence classification framework for Hepatitis B detection.Journal of biomedical optics · 2022Article
- Assessment of tissue pathology using optical polarimetry.Lasers in medical science · 2022Article
- Nanotechnology for Targeted Detection and Removal of Bacteria: Opportunities and Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Review
- Advances in Optical Detection of Human-Associated Pathogenic Bacteria.Molecules (Basel, Switzerland) · 2020Review
- Real-time monitoring of bacterial growth kinetics in suspensions using laser speckle imaging.Scientific reports · 2020Article
- Current taxonomy of Rhodococcus species and their role in infections.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Registered trials
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