Literature DB >> 33659076

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

Yuanxing Shen1,2,3, Rongrong Huang1,2,3, Honghui He1,4, Shaoxiong Liu5, Yang Dong6, Jian Wu1, Hui Ma1,6,7,8.   

Abstract

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 in situ (DCIS) tissues, which have distinct typical fibrous structures, using objectives with different numerical aperture. Then we quantitatively compare a group of image texture feature parameters of the linear retardance parameters images under high and low imaging resolutions. The results demonstrate that the fibers density information contained in the texture features of linear retardance δ parameter image are preserved well with the decline of imaging resolution. While for the azimuthal orientation parameter θ which closely related to the spatial location, we still need high imaging resolution to obtain quantitative structural information. The study provides an important criterion to decide which information of fibrous structures can be extracted accurately using transmission Mueller matrix microscope with low numerical aperture objectives.
© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.

Entities:  

Year:  2020        PMID: 33659076      PMCID: PMC7899522          DOI: 10.1364/BOE.410989

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  5 in total

1.  Polarization imaging-based radiomics approach for the staging of liver fibrosis.

Authors:  Yue Yao; Fengdi Zhang; Bin Wang; Jiachen Wan; Lu Si; Yang Dong; Yuanhuan Zhu; Xiaolong Liu; Lihong Chen; Hui Ma
Journal:  Biomed Opt Express       Date:  2022-02-18       Impact factor: 3.732

2.  Assessment of tissue pathology using optical polarimetry.

Authors:  Zahra Ali; Tariq Mahmood; Ayesha Shahzad; Muaz Iqbal; Iftikhar Ahmad
Journal:  Lasers Med Sci       Date:  2021-10-23       Impact factor: 3.161

3.  Polarization-based probabilistic discriminative model for quantitative characterization of cancer cells.

Authors:  Jiachen Wan; Yang Dong; Jing-Hao Xue; Liyan Lin; Shan Du; Jia Dong; Yue Yao; Chao Li; Hui Ma
Journal:  Biomed Opt Express       Date:  2022-05-11       Impact factor: 3.562

Review 4.  Detection Methods of Nanoparticles Synthesized by Gas-Phase Method: A Review.

Authors:  Xiushuo Zhang; Xiaolong Zhao; Hongsheng Li; Xiaorui Hao; Jing Xu; Jingjing Tian; Yong Wang
Journal:  Front Chem       Date:  2022-02-28       Impact factor: 5.221

5.  Analyzing the Influence of Imaging Resolution on Polarization Properties of Scattering Media Obtained From Mueller Matrix.

Authors:  Conghui Shao; Binguo Chen; Honghui He; Chao He; Yuanxing Shen; Haoyu Zhai; Hui Ma
Journal:  Front Chem       Date:  2022-07-12       Impact factor: 5.545

  5 in total

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