Department of Mechanical Engineering, Texas Tech University , Lubbock, TX, USA.
Department of Physiology, University of Peradeniya , Peradeniya, Sri Lanka.
Adipocyte. 2020 Dec;9(1):360-373. doi: 10.1080/21623945.2020.1787583.
Obesity is a complex disease of global epidemic proportions. Adipose tissue expansion and chronic low-grade inflammation, locally and systemically, are hallmark features of obesity. Obesity is associated with several other chronic diseases, which are also characterized by inflammation. Determination of adipocyte size and macrophage content in adipose tissue is a critical step in assessing changes in this tissue with obesity. Here, we introduce a complete standalone software package, , to analyse microscopic images derived from haematoxylin and eosin (H&E)-stained and immunofluorescently stained histology sections of adipose tissue. The software package is a user-friendly application that does not require a vast knowledge of computer science or costly commercial tools. AdipoGauge includes analysing tools that are capable of cell counting and colour separation. Furthermore, it can quantify the cell data in images both with and without clear boundaries around the cells. It can also remove objects from the image that are not intended for analysis, such as blood vessels or partial cells at edges of slide sections. The simple and state-of-the-art graphical user interface requires minimal time and learning.
肥胖是一种具有全球流行程度的复杂疾病。脂肪组织的扩张和局部及全身的慢性低度炎症，是肥胖的标志性特征。肥胖与其他几种慢性疾病相关，这些疾病也以炎症为特征。确定脂肪组织中脂肪细胞的大小和巨噬细胞含量是评估肥胖时该组织变化的关键步骤。在这里，我们介绍一个完整的独立软件包 ，用于分析来自脂肪组织苏木精和曙红（H&E）染色和免疫荧光染色组织学切片的微观图像。该软件包是一个用户友好的应用程序，不需要大量的计算机科学知识或昂贵的商业工具。AdipoGauge 包括能够进行细胞计数和颜色分离的分析工具。此外，它还可以对细胞数据进行量化，无论细胞周围是否有清晰的边界。它还可以从图像中移除不打算用于分析的对象，例如血管或载玻片边缘部分的细胞。简单而先进的图形用户界面需要最少的时间和学习。
