van 't Hof Rob J, Rose Lorraine, Bassonga Euphemie, Daroszewska Anna
Institute of Ageing and Chronic Disease, University of Liverpool, United Kingdom.
Institute for Genetics and Molecular Medicine, University of Edinburgh, United Kingdom.
Bone. 2017 Jun;99:69-79. doi: 10.1016/j.bone.2017.03.051. Epub 2017 Mar 31.
Micro-CT analysis has become the standard method for assessing bone volume and architecture in small animals. However, micro-CT does not allow the assessment of bone turnover parameters such as bone formation rate and osteoclast (OC) number and surface. For these crucial variables histomorphometric analysis is still an essential technique. Histomorphometry however, is time consuming and, especially in mouse bones, OCs can be difficult to detect. The main purpose of this study was to develop and validate a relatively easy and rapid method to measure static and dynamic bone histomorphometry parameters. Here we present the adaptation of established staining protocols and three novel open source image analysis packages: TrapHisto, OsteoidHisto and CalceinHisto that allow rapid, semi-automated analysis of histomorphometric bone resorption, osteoid, and calcein double labelling parameters respectively. These three programs are based on ImageJ, but use a relatively simple user interface that hides the underlying complexity of the image analysis.
微计算机断层扫描（Micro-CT）分析已成为评估小动物骨体积和结构的标准方法。然而，Micro-CT无法评估诸如骨形成率和破骨细胞（OC）数量及表面积等骨转换参数。对于这些关键变量，组织形态计量学分析仍然是一项必不可少的技术。然而，组织形态计量学分析耗时较长，尤其是在小鼠骨骼中，破骨细胞可能难以检测。本研究的主要目的是开发并验证一种相对简便快捷的方法来测量静态和动态骨组织形态计量学参数。在此，我们展示了对既定染色方案的改进以及三个新颖的开源图像分析软件包：TrapHisto、OsteoidHisto和CalceinHisto，它们分别允许对组织形态计量学的骨吸收、类骨质和钙黄绿素双标记参数进行快速、半自动分析。这三个程序基于ImageJ，但使用了相对简单的用户界面，隐藏了图像分析的潜在复杂性。
