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Stokes Dynamic Polarimeter for Non-Organic and Organic Samples Characterization
The light polarization properties provide relevant information about linear–optical media quality and condition. The Stokes–Mueller formalism is commonly used to represent the polarization properties of the incident light over sample tests. Currently, different Stokes Polarimeters are mainly defined...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8952726/ https://www.ncbi.nlm.nih.gov/pubmed/35336327 http://dx.doi.org/10.3390/s22062155 |
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author | Almanza-Ojeda, Dora-Luz Rodriguez-Sotelo, Daniela Castro-Sanchez, Rogelio Martinez-Celorio, Rene Ibarra-Manzano, Mario-Alberto |
author_facet | Almanza-Ojeda, Dora-Luz Rodriguez-Sotelo, Daniela Castro-Sanchez, Rogelio Martinez-Celorio, Rene Ibarra-Manzano, Mario-Alberto |
author_sort | Almanza-Ojeda, Dora-Luz |
collection | PubMed |
description | The light polarization properties provide relevant information about linear–optical media quality and condition. The Stokes–Mueller formalism is commonly used to represent the polarization properties of the incident light over sample tests. Currently, different Stokes Polarimeters are mainly defined by resolution, acquisition rate, and light to carry out accurate and fast measurements. This work presents the implementation of an automatic Stokes dynamic polarimeter to characterize non-biological and biological material samples. The proposed system is configured to work in the He-Ne laser beam’s reflection or transmission mode to calculate the Mueller matrix. The instrumentation stage includes two asynchronous photoelastic modulators, two nano-stepper motors, and an acquisition data card at 2% of accuracy. The Mueller matrix is numerically calculated by software using the 36 measures method without requiring image processing. Experiments show the efficiency of the proposed optical array to calculate the Mueller matrix in reflection and transmission mode for different samples. The mean squared error is calculated for each element of the obtained matrix using referenced values of the air and a mirror. A comparison with similar works in the literature validates the proposed optical array. |
format | Online Article Text |
id | pubmed-8952726 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89527262022-03-26 Stokes Dynamic Polarimeter for Non-Organic and Organic Samples Characterization Almanza-Ojeda, Dora-Luz Rodriguez-Sotelo, Daniela Castro-Sanchez, Rogelio Martinez-Celorio, Rene Ibarra-Manzano, Mario-Alberto Sensors (Basel) Article The light polarization properties provide relevant information about linear–optical media quality and condition. The Stokes–Mueller formalism is commonly used to represent the polarization properties of the incident light over sample tests. Currently, different Stokes Polarimeters are mainly defined by resolution, acquisition rate, and light to carry out accurate and fast measurements. This work presents the implementation of an automatic Stokes dynamic polarimeter to characterize non-biological and biological material samples. The proposed system is configured to work in the He-Ne laser beam’s reflection or transmission mode to calculate the Mueller matrix. The instrumentation stage includes two asynchronous photoelastic modulators, two nano-stepper motors, and an acquisition data card at 2% of accuracy. The Mueller matrix is numerically calculated by software using the 36 measures method without requiring image processing. Experiments show the efficiency of the proposed optical array to calculate the Mueller matrix in reflection and transmission mode for different samples. The mean squared error is calculated for each element of the obtained matrix using referenced values of the air and a mirror. A comparison with similar works in the literature validates the proposed optical array. MDPI 2022-03-10 /pmc/articles/PMC8952726/ /pubmed/35336327 http://dx.doi.org/10.3390/s22062155 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Almanza-Ojeda, Dora-Luz Rodriguez-Sotelo, Daniela Castro-Sanchez, Rogelio Martinez-Celorio, Rene Ibarra-Manzano, Mario-Alberto Stokes Dynamic Polarimeter for Non-Organic and Organic Samples Characterization |
title | Stokes Dynamic Polarimeter for Non-Organic and Organic Samples Characterization |
title_full | Stokes Dynamic Polarimeter for Non-Organic and Organic Samples Characterization |
title_fullStr | Stokes Dynamic Polarimeter for Non-Organic and Organic Samples Characterization |
title_full_unstemmed | Stokes Dynamic Polarimeter for Non-Organic and Organic Samples Characterization |
title_short | Stokes Dynamic Polarimeter for Non-Organic and Organic Samples Characterization |
title_sort | stokes dynamic polarimeter for non-organic and organic samples characterization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8952726/ https://www.ncbi.nlm.nih.gov/pubmed/35336327 http://dx.doi.org/10.3390/s22062155 |
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