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A Dual-Modality Imaging Method Based on Polarimetry and Second Harmonic Generation for Characterization and Evaluation of Skin Tissue Structures

The characterization and evaluation of skin tissue structures are crucial for dermatological applications. Recently, Mueller matrix polarimetry and second harmonic generation microscopy have been widely used in skin tissue imaging due to their unique advantages. However, the features of layered skin...

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Autores principales: Deng, Liangyu, Fan, Zhipeng, Chen, Binguo, Zhai, Haoyu, He, Honghui, He, Chao, Sun, Yanan, Wang, Yi, Ma, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966533/
https://www.ncbi.nlm.nih.gov/pubmed/36835613
http://dx.doi.org/10.3390/ijms24044206
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author Deng, Liangyu
Fan, Zhipeng
Chen, Binguo
Zhai, Haoyu
He, Honghui
He, Chao
Sun, Yanan
Wang, Yi
Ma, Hui
author_facet Deng, Liangyu
Fan, Zhipeng
Chen, Binguo
Zhai, Haoyu
He, Honghui
He, Chao
Sun, Yanan
Wang, Yi
Ma, Hui
author_sort Deng, Liangyu
collection PubMed
description The characterization and evaluation of skin tissue structures are crucial for dermatological applications. Recently, Mueller matrix polarimetry and second harmonic generation microscopy have been widely used in skin tissue imaging due to their unique advantages. However, the features of layered skin tissue structures are too complicated to use a single imaging modality for achieving a comprehensive evaluation. In this study, we propose a dual-modality imaging method combining Mueller matrix polarimetry and second harmonic generation microscopy for quantitative characterization of skin tissue structures. It is demonstrated that the dual-modality method can well divide the mouse tail skin tissue specimens’ images into three layers of stratum corneum, epidermis, and dermis. Then, to quantitatively analyze the structural features of different skin layers, the gray level co-occurrence matrix is adopted to provide various evaluating parameters after the image segmentations. Finally, to quantitatively measure the structural differences between damaged and normal skin areas, an index named Q-Health is defined based on cosine similarity and the gray-level co-occurrence matrix parameters of imaging results. The experiments confirm the effectiveness of the dual-modality imaging parameters for skin tissue structure discrimination and assessment. It shows the potential of the proposed method for dermatological practices and lays the foundation for further, in-depth evaluation of the health status of human skin.
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spelling pubmed-99665332023-02-26 A Dual-Modality Imaging Method Based on Polarimetry and Second Harmonic Generation for Characterization and Evaluation of Skin Tissue Structures Deng, Liangyu Fan, Zhipeng Chen, Binguo Zhai, Haoyu He, Honghui He, Chao Sun, Yanan Wang, Yi Ma, Hui Int J Mol Sci Article The characterization and evaluation of skin tissue structures are crucial for dermatological applications. Recently, Mueller matrix polarimetry and second harmonic generation microscopy have been widely used in skin tissue imaging due to their unique advantages. However, the features of layered skin tissue structures are too complicated to use a single imaging modality for achieving a comprehensive evaluation. In this study, we propose a dual-modality imaging method combining Mueller matrix polarimetry and second harmonic generation microscopy for quantitative characterization of skin tissue structures. It is demonstrated that the dual-modality method can well divide the mouse tail skin tissue specimens’ images into three layers of stratum corneum, epidermis, and dermis. Then, to quantitatively analyze the structural features of different skin layers, the gray level co-occurrence matrix is adopted to provide various evaluating parameters after the image segmentations. Finally, to quantitatively measure the structural differences between damaged and normal skin areas, an index named Q-Health is defined based on cosine similarity and the gray-level co-occurrence matrix parameters of imaging results. The experiments confirm the effectiveness of the dual-modality imaging parameters for skin tissue structure discrimination and assessment. It shows the potential of the proposed method for dermatological practices and lays the foundation for further, in-depth evaluation of the health status of human skin. MDPI 2023-02-20 /pmc/articles/PMC9966533/ /pubmed/36835613 http://dx.doi.org/10.3390/ijms24044206 Text en © 2023 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
Deng, Liangyu
Fan, Zhipeng
Chen, Binguo
Zhai, Haoyu
He, Honghui
He, Chao
Sun, Yanan
Wang, Yi
Ma, Hui
A Dual-Modality Imaging Method Based on Polarimetry and Second Harmonic Generation for Characterization and Evaluation of Skin Tissue Structures
title A Dual-Modality Imaging Method Based on Polarimetry and Second Harmonic Generation for Characterization and Evaluation of Skin Tissue Structures
title_full A Dual-Modality Imaging Method Based on Polarimetry and Second Harmonic Generation for Characterization and Evaluation of Skin Tissue Structures
title_fullStr A Dual-Modality Imaging Method Based on Polarimetry and Second Harmonic Generation for Characterization and Evaluation of Skin Tissue Structures
title_full_unstemmed A Dual-Modality Imaging Method Based on Polarimetry and Second Harmonic Generation for Characterization and Evaluation of Skin Tissue Structures
title_short A Dual-Modality Imaging Method Based on Polarimetry and Second Harmonic Generation for Characterization and Evaluation of Skin Tissue Structures
title_sort dual-modality imaging method based on polarimetry and second harmonic generation for characterization and evaluation of skin tissue structures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966533/
https://www.ncbi.nlm.nih.gov/pubmed/36835613
http://dx.doi.org/10.3390/ijms24044206
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