Study of the spatial scale stability of Mueller matrix parameters for textural characterization of biological tissues

Chen, Yongtai; Chu, Jinkui; Tang, William C.; Zhang, Ran; Zhao, Mingyu; Xin, Benda

doi:10.1002/jbio.202100269

Cited by 6 publications

(3 citation statements)

References 33 publications

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“…When applied to clinical detection, the imaging speed should be considered in addition to the impact of imaging resolution. Some recent researches have shown that the polarization imaging method can better preserve the microstructural information of the sample when imaging resolution decreased compared to unpolarized optical imaging methods ( Shen et al, 2020 ; Liu et al, 2021 ; Chen et al, 2022 ; Yao et al, 2022 ). It indicates that adopting the polarization imaging method can well balance the requirements of imaging resolution and FOV, to acquire the micro- and even nanostructural ( Dong et al, 2020 ; Chen et al, 2021a ; Wang et al, 2021 ; Fang et al, 2022 ) properties of the scattering medium quickly using a relatively low NA objective.…”

Section: Introductionmentioning

confidence: 99%

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

Shao

Chen

et al. 2022

Front. Chem.

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The Mueller matrix contains abundant micro- and even nanostructural information of media. Especially, it can be used as a powerful tool to characterize anisotropic structures quantitatively, such as the particle size, density, and orientation information of fibers in the sample. Compared with unpolarized microscopic imaging techniques, Mueller matrix microscopy can also obtain some essential structural information about the sample from the derived parameters images at low resolution. Here, to analyze the comprehensive effects of imaging resolution on polarization properties obtained from the Mueller matrix, we, first, measure the microscopic Mueller matrices of unstained rat dorsal skin tissue slices rich in collagen fibers using a series of magnifications or numerical aperture (NA) values of objectives. Then, the first-order moments and image texture parameters are quantified and analyzed in conjunction with the polarization parameter images. The results show that the Mueller matrix polar decomposition parameters diattenuation D, linear retardance δ, and depolarization Δ images obtained using low NA objective retain most of the structural information of the sample and can provide fast imaging speed. In addition, the scattering phase function analysis and Monte Carlo simulation based on the cylindrical scatterers reveal that the diattenuation parameter D images with different imaging resolutions are expected to be used to distinguish among the fibrous scatterers in the medium with different particle sizes. This study provides a criterion to decide which structural information can be accurately and rapidly obtained using a transmission Mueller matrix microscope with low NA objectives to assist pathological diagnosis and other applications.

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Section: Introductionmentioning

confidence: 99%

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

Shao

Chen

et al. 2022

Front. Chem.

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“…During each stretch, the incident light generated by PSG illuminates the sample, and the light exiting from the sample passes through the PSA and is collected by the cameras. The final MMPs images are calculated from 24 images acquired with different combinations of PSG and PSA [ 36 , 37 ]. We have calibrated the inversion error of the Mueller matrix under the condition that the incident light was generated manually, and the average root mean square error of the air Mueller matrix was 0.0265.…”

Section: Methodsmentioning

confidence: 99%

Mechanical stability of polarization signatures in biological tissue characterization

Chen,

Chu,

Xin

et al. 2024

Biomed. Opt. Express

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Mueller matrix imaging polarimetry (MMIP) is a promising technique for investigating structural abnormalities in pathological diagnosis. The characterization stability of polarization signatures, described by Mueller matrix parameters (MMPs), correlates with the mechanical state of the biological medium. In this study, we developed an MMIP system capable of applying quantitative forces to samples and measuring the resulting polarization signatures. Mechanical stretching experiments were conducted on a mimicking phantom and a tissue sample at different force scales. We analyzed the textural features and data distribution of MMP images and evaluated the force effect on the characterization of MMPs using the structural similarity index. The results demonstrate that changes in the mechanical microenvironment (CMM) can cause textural fluctuations in MMP images, interfering with the stability of polarization signatures. Specifically, parameters of anisotropic orientation, retardance, and optical rotation are the most sensitive to CMM, inducing a dramatic change in the overall image texture, while other parameters (e.g., polarization, diattenuation, and depolarization) exhibit locality in their response to CMM. For some MMPs, CMM can enhance regional textural contrasts. This study elucidates the mechanical stability of polarization signatures in biological tissue characterization and provides a valuable reference for further research toward minimizing CMM influence.

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“…For some clinical applications, imaging speed and resolution are both the key considerations. Recently, studies have shown that some polarization information obtained from Mueller matrix connecting with structural features can be preserved under relatively low imaging resolution [21][22][23][24] .…”

Section: Introductionmentioning

confidence: 99%

Comparative study of the influence of imaging resolution on polarization properties derived from Mueller matrix

Zhang

Shao

et al. 2023

Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 2023

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For pathological diagnosis using optical microscopes, imaging speed and resolution are two important considerations. Usually, the improvement of imaging resolution will reduce the field of view and greatly extend the imaging time. Recently, studies have shown that some polarization information obtained from Mueller matrix connecting with structural features can be preserved under relatively low imaging resolution. Here, to systematically investigate the influence of imaging resolution on polarization properties derived from Mueller matrix, we first perform transmission Mueller matrix microscopic imaging on the unstained rat dorsal skin tissue samples, which have rich fibrous structures. Then, we carry out quantitative analysis using the statistics and the image texture feature parameters to compare the Mueller matrix polarimetric parameters images at different resolutions. The results show that, compared with the traditional non-polarized microscopic images, the Mueller matrix polarimetric parameters, which can characterize the fiber density information of the sample, are less sensitive to the imaging resolution, while other polarimetric parameters derived from the Mueller matrix related to the particle sizes still need high resolution to provide accurate structural information. This study demonstrates that it is possible to consider both imaging resolution and speed when using Mueller matrix polarimetry for tissue detection, and proposes relevant criteria to meet the above requirements, which is of great significance for application scenarios that need accurate and highspeed optical measurement.

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Study of the spatial scale stability of Mueller matrix parameters for textural characterization of biological tissues

Cited by 6 publications

References 33 publications

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

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

Mechanical stability of polarization signatures in biological tissue characterization

Comparative study of the influence of imaging resolution on polarization properties derived from Mueller matrix

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