PDF(Pubmed)
Abstract：
UNASSIGNED: Most biological fibrous tissues have anisotropic optical characteristics, which originate from scattering by their fibrous microstructures and birefringence of biological macromolecules. The orientation-related anisotropic interpretation is of great value in biological tissue characterization and pathological diagnosis.
UNASSIGNED: We focus on intrinsic birefringence and form birefringence in biological tissue samples. By observing and comparing the forward Mueller matrix of typical samples, we can understand the interpretation ability of orientation-related polarization parameters and further distinguish the sources and trends of anisotropy in tissues.
UNASSIGNED: For glass fiber, silk fiber, skeletal muscle, and tendon, we construct a forward measuring device to obtain the Mueller matrix image and calculate the anisotropic parameters related to orientation. The statistical analysis method based on polar coordinates can effectively analyze the difference in anisotropic parameters.
UNASSIGNED: For those birefringent fibers, the statistical distribution of fast-axis values derived from Mueller matrix polar decomposition was found to exhibit bimodal characteristics, which is a key point in distinguishing the single-layer birefringent fiber sample from a layered, multioriented fibrous sample. The application conditions and interference factors of anisotropic orientation parameters are analyzed. Based on the parameters extracted from the orientation bimodal distribution, we can evaluate the relative change trend of intrinsic birefringence and form birefringence in anisotropic samples.
UNASSIGNED: The cross-vertical bimodal distribution of the fast axis of anisotropic fibers is beneficial to accurately analyze the anisotropic changes in biological tissues. The results imply the potential of anisotropic orientation analysis for applications in pathological diagnosis.
UNASSIGNED: We focus on intrinsic birefringence and form birefringence in biological tissue samples. By observing and comparing the forward Mueller matrix of typical samples, we can understand the interpretation ability of orientation-related polarization parameters and further distinguish the sources and trends of anisotropy in tissues.
UNASSIGNED: For glass fiber, silk fiber, skeletal muscle, and tendon, we construct a forward measuring device to obtain the Mueller matrix image and calculate the anisotropic parameters related to orientation. The statistical analysis method based on polar coordinates can effectively analyze the difference in anisotropic parameters.
UNASSIGNED: For those birefringent fibers, the statistical distribution of fast-axis values derived from Mueller matrix polar decomposition was found to exhibit bimodal characteristics, which is a key point in distinguishing the single-layer birefringent fiber sample from a layered, multioriented fibrous sample. The application conditions and interference factors of anisotropic orientation parameters are analyzed. Based on the parameters extracted from the orientation bimodal distribution, we can evaluate the relative change trend of intrinsic birefringence and form birefringence in anisotropic samples.
UNASSIGNED: The cross-vertical bimodal distribution of the fast axis of anisotropic fibers is beneficial to accurately analyze the anisotropic changes in biological tissues. The results imply the potential of anisotropic orientation analysis for applications in pathological diagnosis.
摘要：
■大多数生物纤维组织具有各向异性的光学特性，它源于其纤维微结构的散射和生物大分子的双折射。定向相关的各向异性解释在生物组织表征和病理诊断中具有重要价值。
■我们关注生物组织样品中的固有双折射和形成双折射。通过观察和比较典型样本的前向穆勒矩阵，我们可以了解与方向相关的极化参数的解释能力，并进一步区分组织中各向异性的来源和趋势。
■对于玻璃纤维，蚕丝纤维,骨骼肌,和肌腱，我们构造了一个前向测量装置，以获得穆勒矩阵图像，并计算与取向相关的各向异性参数。基于极坐标的统计分析方法可以有效地分析各向异性参数的差异。
■对于那些双折射光纤，发现从穆勒矩阵极性分解得出的快轴值的统计分布表现出双峰特征，这是区分单层双折射纤维样品和层状纤维样品的关键点，多取向纤维样品。分析了各向异性取向参数的应用条件和干扰因素。根据从取向双峰分布中提取的参数，我们可以评估各向异性样品中固有双折射和形成双折射的相对变化趋势。
■各向异性纤维的快轴的交叉垂直双峰分布有利于准确分析生物组织中的各向异性变化。结果暗示了各向异性取向分析在病理诊断中的应用潜力。
■我们关注生物组织样品中的固有双折射和形成双折射。通过观察和比较典型样本的前向穆勒矩阵，我们可以了解与方向相关的极化参数的解释能力，并进一步区分组织中各向异性的来源和趋势。
■对于玻璃纤维，蚕丝纤维,骨骼肌,和肌腱，我们构造了一个前向测量装置，以获得穆勒矩阵图像，并计算与取向相关的各向异性参数。基于极坐标的统计分析方法可以有效地分析各向异性参数的差异。
■对于那些双折射光纤，发现从穆勒矩阵极性分解得出的快轴值的统计分布表现出双峰特征，这是区分单层双折射纤维样品和层状纤维样品的关键点，多取向纤维样品。分析了各向异性取向参数的应用条件和干扰因素。根据从取向双峰分布中提取的参数，我们可以评估各向异性样品中固有双折射和形成双折射的相对变化趋势。
■各向异性纤维的快轴的交叉垂直双峰分布有利于准确分析生物组织中的各向异性变化。结果暗示了各向异性取向分析在病理诊断中的应用潜力。
