跳到主要导航 跳到搜索 跳到主要内容

Combination Usage of AdipoCount and Image-Pro Plus/ImageJ Software for Quantification of Adipocyte Sizes

  • Yepeng Hu
  • , Jian Yu
  • , Xiangdi Cui
  • , Zhe Zhang
  • , Qianqian Li
  • , Wenxiu Guo
  • , Cheng Zhao
  • , Xin Chen
  • , Meiyao Meng
  • , Yu Li
  • , Mingwei Guo
  • , Jin Qiu
  • , Fei Shen
  • , Dongmei Wang
  • , Xinran Ma
  • , Lingyan Xu*
  • , Feixia Shen*
  • , Xuejiang Gu*
  • *此作品的通讯作者
  • Wenzhou Medical University
  • East China Normal University

科研成果: 期刊稿件文章同行评审

摘要

In recent decades, the prevalence of obesity has been rising. One of the major characteristics of obesity is fat accumulation, including hyperplasia (increase in number) and hypertrophy (increase in size). After histological staining, it is critical to accurately measure the number and size of adipocytes for assessing the severity of obesity in a timely fashion. Manual measurement is accurate but time-consuming. Although commercially available adipocyte counting tools, including AdipoCount, Image-Pro Plus, and ImageJ were helpful, limitations still exist in accuracy and time consuming. In the present study, we introduced the protocol of combined usage of these tools and illustrated the process with histological staining slides from adipose tissues of lean and obese mice. We found that the adipocyte sizes quantified by the tool combination were comparable as manual measurement, whereas the combined methods were more efficient. Besides, the recognition effect of monochrome segmentation image is better than that of color segmentation image. Overall, we developed a combination method to measure adipocyte sizes accurately and efficiently, which may be helpful for experimental process in laboratory and also for clinic diagnosis.

源语言英语
文章编号642000
期刊Frontiers in Endocrinology
12
DOI
出版状态已出版 - 4 8月 2021

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 3 - 良好健康与福祉
    可持续发展目标 3 良好健康与福祉

指纹

探究 'Combination Usage of AdipoCount and Image-Pro Plus/ImageJ Software for Quantification of Adipocyte Sizes' 的科研主题。它们共同构成独一无二的指纹。

引用此