Literature DB >> 27087003

Mueller matrix microscope: a quantitative tool to facilitate detections and fibrosis scorings of liver cirrhosis and cancer tissues.

Ye Wang1, Honghui He2, Jintao Chang1, Chao He3, Shaoxiong Liu4, Migao Li5, Nan Zeng2, Jian Wu2, Hui Ma1.   

Abstract

Today the increasing cancer incidence rate is becoming one of the biggest threats to human health.Among all types of cancers, liver cancer ranks in the top five in both frequency and mortality rate all over the world. During the development of liver cancer, fibrosis often evolves as part of a healing process in response to liver damage, resulting in cirrhosis of liver tissues. In a previous study, we applied the Mueller matrix microscope to pathological liver tissue samples and found that both the Mueller matrix polar decomposition (MMPD) and Mueller matrix transformation (MMT) parameters are closely related to the fibrous microstructures. In this paper,we take this one step further to quantitatively facilitate the fibrosis detections and scorings of pathological liver tissue samples in different stages from cirrhosis to cancer using the Mueller matrix microscope. The experimental results of MMPD and MMT parameters for the fibrotic liver tissue samples in different stages are measured and analyzed. We also conduct Monte Carlo simulations based on the sphere birefringence model to examine in detail the influence of structural changes in different fibrosis stages on the imaging parameters. Both the experimental and simulated results indicate that the polarized light microscope and transformed Mueller matrix parameter scan provide additional quantitative information helpful for fibrosis detections and scorings of liver cirrhosis and cancers. Therefore, the polarized light microscope and transformed Mueller matrix parameters have a good application prospect in liver cancer diagnosis.

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Year:  2016        PMID: 27087003     DOI: 10.1117/1.JBO.21.7.071112

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  14 in total

1.  High-fidelity and rapid cellular-level Mueller matrix imaging for tissue identification with unstained sections.

Authors:  Jiazhi Wang; Yanqiu Li; Chenle Cao; Guodong Zhou; Li Li
Journal:  Biomed Opt Express       Date:  2021-07-12       Impact factor: 3.732

2.  Polarization memory rate as a metric to differentiate benign and malignant tissues.

Authors:  Daniel C Louie; Lioudmila Tchvialeva; Sunil Kalia; Harvey Lui; Tim K Lee
Journal:  Biomed Opt Express       Date:  2022-01-06       Impact factor: 3.732

3.  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

4.  Deep learning for denoising in a Mueller matrix microscope.

Authors:  Xiongjie Yang; Qianhao Zhao; Tongyu Huang; Zheng Hu; Tongjun Bu; Honghui He; Anli Hou; Migao Li; Yucheng Xiao; Hui Ma
Journal:  Biomed Opt Express       Date:  2022-05-24       Impact factor: 3.562

5.  Quantitatively characterizing the microstructural features of breast ductal carcinoma tissues in different progression stages by Mueller matrix microscope.

Authors:  Yang Dong; Ji Qi; Honghui He; Chao He; Shaoxiong Liu; Jian Wu; Daniel S Elson; Hui Ma
Journal:  Biomed Opt Express       Date:  2017-07-13       Impact factor: 3.732

6.  Study on correlation between coagulation indexes and disease progression in patients with cirrhosis.

Authors:  Jinlan Peng; Guilin He; Huan Chen; Xiaoqin Kuang
Journal:  Am J Transl Res       Date:  2021-05-15       Impact factor: 4.060

7.  Real time complete Stokes polarimetric imager based on a linear polarizer array camera for tissue polarimetric imaging.

Authors:  Ji Qi; Chao He; Daniel S Elson
Journal:  Biomed Opt Express       Date:  2017-10-10       Impact factor: 3.732

8.  A quantitative and non-contact technique to characterise microstructural variations of skin tissues during photo-damaging process based on Mueller matrix polarimetry.

Authors:  Yang Dong; Honghui He; Wei Sheng; Jian Wu; Hui Ma
Journal:  Sci Rep       Date:  2017-10-31       Impact factor: 4.379

9.  Detection and Discrimination of Bacterial Colonies with Mueller Matrix Imaging.

Authors:  Saeedesadat Badieyan; Arezou Dilmaghani-Marand; Mohammad Javad Hajipour; Ali Ameri; Mohammad Reza Razzaghi; Hashem Rafii-Tabar; Morteza Mahmoudi; Pezhman Sasanpour
Journal:  Sci Rep       Date:  2018-07-17       Impact factor: 4.379

Review 10.  Advances of super-resolution fluorescence polarization microscopy and its applications in life sciences.

Authors:  Long Chen; Xingye Chen; Xusan Yang; Chao He; Miaoyan Wang; Peng Xi; Juntao Gao
Journal:  Comput Struct Biotechnol J       Date:  2020-06-26       Impact factor: 7.271

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