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| Application of ImageJ in 3D characterization of the osteocyte lacunae |
| WANG Bingqian1 LYU Zhengtao2▲ |
| 1.Department of Plastic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei Province, Wuhan 430022, China; 2.Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei Province, Wuhan 430030, China |
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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), surface area of osteocyte lacunae (Lc.SA), volume of osteocyte lacunae (Lc.V) and other parameters used to describe 3D characterization of osteocyte lacunae within the region of interest could be accomplished after a series of operations including importing the image stack, thresholding and despeckling, inverting, filling holes and logical calculation.
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