Comparative study of the influence of imaging resolution on linear retardance parameters derived from the Mueller matrix.


Journal

Biomedical optics express
ISSN: 2156-7085
Titre abrégé: Biomed Opt Express
Pays: United States
ID NLM: 101540630

Informations de publication

Date de publication:
01 Jan 2021
Historique:
received: 24 09 2020
revised: 13 11 2020
accepted: 02 12 2020
entrez: 4 3 2021
pubmed: 5 3 2021
medline: 5 3 2021
Statut: epublish

Résumé

Polarization imaging techniques are emerging tools to provide quantitative information of anisotropic structures, such as the density and orientation distribution of fibers in tissue samples. Recently, it is found that when using Mueller matrix polarimetry to obtain the structural features of tissue samples, some information can be revealed by relatively low-resolution polarization parameter images. Thus, to analyze what kinds of anisotropic optical and structural information contained in high-resolution polarization images are preserved in low-resolution ones, here we carry out a comparative study of the influence of imaging resolution on the Mueller matrix derived linear retardance parameters. We measure the microscopic Mueller matrix of human healthy breast duct tissues and ductal carcinoma

Identifiants

pubmed: 33659076
doi: 10.1364/BOE.410989
pii: 410989
pmc: PMC7899522
doi:

Types de publication

Journal Article

Langues

eng

Pagination

211-225

Informations de copyright

© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.

Déclaration de conflit d'intérêts

The authors declare that there are no conflicts of interest related to this article.

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Auteurs

Yuanxing Shen (Y)

Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong 518055, China.
Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China.
These authors contributed equally to this work.

Rongrong Huang (R)

Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong 518055, China.
Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China.
These authors contributed equally to this work.

Honghui He (H)

Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong 518055, China.
he.honghui@sz.tsinghua.edu.cn.

Shaoxiong Liu (S)

Shenzhen Sixth People's Hospital (Nanshan Hospital), Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, Guangdong 518052, China.

Yang Dong (Y)

Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, Guangdong 518071, China.

Jian Wu (J)

Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong 518055, China.

Hui Ma (H)

Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong 518055, China.
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, Guangdong 518071, China.
Department of Physics, Tsinghua University, Beijing 100084, China.
mahui@tsinghua.edu.cn.

Classifications MeSH