王冰倩 吕正涛

    [摘要] 骨细胞的三维(3D)形态可以顺应机械应力发生改变，同时骨细胞陷窝形态的变化也可以影响骨细胞作为骨主要机械传感器的功能。因此揭示皮质骨中骨细胞陷窝的3D形态特征对于在细胞水平下更好地了解其机械性质结构是至关重要的。本文笔者基于实验室的仪器(3D X射线显微镜，MicroXCT-200)拍摄的100幅连续图像，提出了一种高效的使用ImageJ软件对骨细胞陷窝的3D特征进行量化的图像分析方法。通过对图像序列的导入、阈值分割、降噪处理、反转、填充以及逻辑运算等处理步骤，最终得到感兴趣区域内骨细胞陷窝的数量、表面积、体积以及其他用于描绘骨细胞3D特征的指数。

    [关键词] ImageJ；骨细胞陷窝；3D形态；皮质骨

    [中图分类号] R336 [文献标识码] A [文章编号] 1673-7210(2018)10(c)-0172-06

    [Abstract] The three-dimensional (3D) morphology of osteocytes is assumed to adapt to physiological mechanical loading， the variation in the morphology of osteocyte lacunae is hypothesized to influence the function of osteocytes as the master mechanosensors of bone. Thus， to reveal the 3D characterization of osteocyte lacunae in cortical bone is essential for a better understanding of its structure in relation to its inferior mechanical properties in a cellular level. In this paper， the authors used a series of 100 consecutive images from laboratory-based instrumentation (3D X-ray microscope， MicroXCT-200) and proposed a computationally efficient image analysis method to quantify the 3D characterization of osteocyte lacunae using ImageJ software. The number of osteocyte lacunae (N.Lc) ......