Conghui Shao

Conghui Shao

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Conghui Shao has a total of 19 co-authors. Here are the top co-authors by number of shared publications:

  • Hui Ma

    Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

    4 shared publications
  • Chao He

    Department of Engineering Science, University of Oxford, Oxford, UK

    3 shared publications
  • Honghui He

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

    3 shared publications
  • Changjiang Mi

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

    1 shared publication
  • Chunyan Chen

    Shanghai Jiao Tong University School of Medicine, Shanghai Sixth People’s Hospital, Department of Pathology, Shanghai, China

    1 shared publication
  • Hongtao Li

    Department of Oncology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China

    1 shared publication

Latest Publications

  • Open Access

    Influence of hematoxylin and eosin staining on linear birefringence measurement of fibrous tissue structures in polarization microscopy

    by Liangyu Deng, Chunyan Chen, Wenxi Yu, Conghui Shao, Zan Shen, Yonggang Wang, Chao He, Hongtao Li, Zhiyan Liu, Honghui He, et al.

    As a vectorial property, polarization encodes high-dimensional information of light.1 – 3 Polarimetry can provide abundant optical and structural information of tissue; thus it has shown great potential in biomedical and clinical applications.4 – 10 After interacting with tissue, the polarization state of light can be altered by different structures.11 By measuring the polarization state changes of output light from tissue, several properties, such as birefringence, dichroism, and depolarization, can be quantified.12 For microscopic polarization imaging of thin tissue slices, linear birefringence is a valuable and prevalently used metric for anisotropic structures characterization.13 – 15 For instance, Wood et al.16 demonstrated that linear birefringence can be adopted for in vivo tissue fiber characterization. Furthermore, Pierangelo et al.17 showed that the reducing of linear birefringence resulting from the breaking down of well-ordered fibrous structures can be used for cervical cancer identification.


  • Open Access

    Analyzing the influence of oblique incidence on quantitative backscattering tissue polarimetry: a pilot ex vivo study

    by Zheng Zhang, Conghui Shao, Honghui He, Chao He, Shaoxiong Liu, Hui Ma

    Polarimetry is attracting increasing attention nowadays, due to its unique ability to obtain microstructural and optical information of tissue samples label-free.1 – 4 Among the available polarimetric techniques, Mueller matrix (MM) imaging can comprehensively characterize the polarization-related properties of media, including diattenuation, retardance, and depolarization, which are of great importance in biomedical studies and clinical trials.5 – 7 Recently, transmission MM microscopy has shown potential in detection of various abnormal and pathological tissues, such as breast cancer,8 cervical cancer,9 colon cancer,10 skin cancer,11,12 liver cirrhosis,13,14 gastrointestinal cancer,15,16 thyroid cancer,17 and lung cancer.18 Meanwhile, the backscattering MM polarimetry provides a promising non-contact and quantitative tool for ex-vivo measurement of bulk tissue samples,6,7,19 – 22 in-vivo imaging of skin tissue,23 – 26 and endoscopic detection of internal organs.27 – 31


  • Open Access

    Evaluating Tissue Mechanical Properties Using Quantitative Mueller Matrix Polarimetry and Neural Network

    by Changjiang Mi, Conghui Shao, Honghui He, Chao He, Hui Ma

    Evaluation of the mechanical properties of biological tissues has always been an important issue in the field of biomedicine. The traditional method for mechanical properties measurement is to perform in vitro tissue deformation experiments. With the fast development of optical and image processing techniques, more and more non-invasive and non-contact optical methods have been applied to the analysis of tissue mechanical features. In this study, we use Mueller matrix polarimetry to quantitatively obtain the mechanical properties of bovine tendon tissues. Firstly, to study the structural information and the changes in the optical characteristics of the tendon tissue under different stretching states, 3 × 3 Mueller matrix images of bovine tendon tissue samples are acquired by backscattering measurement setups based on a polarized camera. Then, we extract the frequency distribution histograms (FDHs) of the Mueller matrix elements to reveal the structural changes of the tendon tissue more clearly during the stretching process. Last, we calculate the Mueller matrix transformation (MMT) parameters, the total anisotropy t1 and the anisotropy direction α1 of the tendon tissue samples under different stretching processes to quantitatively characterize their structural changes under different mechanical states. The central moments of the MMT parameters can be used to distinguish the different stretching states of the tendon tissue. For better discrimination based on the MMT parameters, we design a multilayer neural network that takes the first-order moments of the MMT parameters as the input features. After training, a high-precision classification model of the stretching states of tendon tissue samples is finally obtained, and the total classification accuracy achieves 98%. The experimental results show that the Mueller matrix polarimetry can be a potential non-contact tool for tissue mechanical properties evaluation.


  • Open Access

    Probing Dynamic Variation of Layered Microstructure Using Backscattering Polarization Imaging

    by Tongjun Bu, Conghui Shao, Yuanhuan Zhu, Tongyu Huang, Qianhao Zhao, Yanan Sun, Yi Wang, Hui Ma

    Polarization imaging can quantitatively probe the microscopic structure of biological tissues which can be complex and consist of layered structures. In this paper, we established a fast-backscattering Mueller matrix imaging system to characterize the dynamic variation in the microstructure of single-layer and double-layer tissues as glycerin solution penetrated into the samples. The characteristic response of Mueller matrix elements, as well as polarization parameters with clearer physics meanings, show that polarization imaging can capture the dynamic variation in the layered microstructure. The experimental results are confirmed by Monte Carlo simulations. Further examination on the accuracy of Mueller matrix measurements also shows that much faster speed has to be considered when backscattering Mueller matrix imaging is applied to living samples.