Chen Yongtai, Chu Jinkui, Tang William C, Zhang Ran, Zhao Mingyu, Xin Benda
School of Mechanical Engineering, Dalian University of Technology, Dalian, China.
Department of Biomedical Engineering, University of California, Irvine, California, USA.
J Biophotonics. 2022 May;15(5):e202100269. doi: 10.1002/jbio.202100269. Epub 2021 Dec 23.
Mueller matrix imaging polarimetry (MMIP) is a promising technique for the textural characterization of biological tissue structures. To reveal the influence of imaging magnification on the robustness of Mueller matrix parameters (MMPs), the spatial scale stability of MMPs was studied. We established a new MMIP detector and derived the mathematical model of the spatial scale stability of MMPs. The biological tissues with well-defined structural components were imaged under different magnifications. Then, we compared and analyzed the textural features of the MMPs in the resulting images. The experimental results match the predictions of the mathematical model in these aspects: (a) magnification exhibits a strong nonlinear effect on the textural contrasts of MMPs images; (b) higher magnification does not necessarily lead to superior contrast for textural characterization; and (c) for different biological tissues, MMPs contrasts can be optimized differently, with some showing superior results. This study provides a reference for the experimental design and operation of the MMIP technique and is helpful for improving the characterization ability of MMPs.
穆勒矩阵成像偏振术(MMIP)是一种用于生物组织结构纹理特征表征的很有前景的技术。为了揭示成像放大倍数对穆勒矩阵参数(MMPs)稳健性的影响,研究了MMPs的空间尺度稳定性。我们建立了一种新型MMIP探测器,并推导了MMPs空间尺度稳定性的数学模型。对具有明确结构成分的生物组织在不同放大倍数下进行成像。然后,我们对所得图像中MMPs的纹理特征进行了比较和分析。实验结果在以下方面与数学模型的预测相符:(a)放大倍数对MMPs图像的纹理对比度表现出强烈的非线性效应;(b)更高的放大倍数不一定会带来更好的纹理表征对比度;(c)对于不同的生物组织,MMPs对比度可以进行不同的优化,有些显示出更好的结果。本研究为MMIP技术的实验设计和操作提供了参考,有助于提高MMPs的表征能力。