Brno University of Technology, Faculty of Mechanical Engineering, Institute of Solid Mechanics, Mechatronics and Biomechanics, Technická 2896/2, Brno 616 69, Czech Republic.
Brno University of Technology, Faculty of Mechanical Engineering, Institute of Physical Engineering, Technická 2896/2, Brno 616 69, Czech Republic.
Biomed Res Int. 2021 Nov 28;2021:6879765. doi: 10.1155/2021/6879765. eCollection 2021.
A novel method for semiautomated assessment of directions of collagen fibers in soft tissues using histological image analysis is presented. It is based on multiple rotated images obtained via polarized light microscopy without any additional components, i.e., with just two polarizers being either perpendicular or nonperpendicular (rotated). This arrangement breaks the limitation of 90° periodicity of polarized light intensity and evaluates the in-plane fiber orientation over the whole 180° range accurately and quickly. After having verified the method, we used histological specimens of porcine Achilles tendon and aorta to validate the proposed algorithm and to lower the number of rotated images needed for evaluation. Our algorithm is capable to analyze 5·10 pixels in one micrograph in a few seconds and is thus a powerful and cheap tool promising a broad application in detection of collagen fiber distribution in soft tissues.
提出了一种使用组织学图像分析半自动评估软组织中胶原纤维方向的新方法。它基于通过偏光显微镜获得的多个旋转图像,无需任何其他组件,即只需使用两个偏振器垂直或非垂直(旋转)。这种布置打破了偏光强度 90°周期性的限制,并准确快速地评估整个 180°范围内的平面纤维方向。在验证了该方法之后,我们使用了猪跟腱和主动脉的组织学标本来验证所提出的算法并降低评估所需的旋转图像数量。我们的算法能够在几秒钟内分析一个显微照片中的 5·10 个像素,因此是一种强大而廉价的工具,有望在检测软组织中胶原纤维分布方面得到广泛应用。