Imaging Unit and Cancer Imaging Laboratory, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.
J Lipid Res. 2012 Dec;53(12):2791-6. doi: 10.1194/jlr.D023788. Epub 2012 Sep 19.
The accurate estimation of the number and size of cells provides relevant information on the kinetics of growth and the physiological status of a given tissue or organ. Here, we present Adiposoft, a fully automated open-source software for the analysis of white adipose tissue cellularity in histological sections. First, we describe the sequence of image analysis routines implemented by the program. Then, we evaluate our software by comparing it with other adipose tissue quantification methods, namely, with the manual analysis of cells in histological sections (used as gold standard) and with the automated analysis of cells in suspension, the most commonly used method. Our results show significant concordance between Adiposoft and the other two methods. We also demonstrate the ability of the proposed method to distinguish the cellular composition of three different rat fat depots. Moreover, we found high correlation and low disagreement between Adiposoft and the manual delineation of cells. We conclude that Adiposoft provides accurate results while considerably reducing the amount of time and effort required for the analysis.
准确估计细胞的数量和大小可以提供有关特定组织或器官生长动力学和生理状态的相关信息。在这里，我们介绍了 Adiposoft，这是一种用于分析组织学切片中白色脂肪组织细胞结构的全自动开源软件。首先，我们描述了程序中实现的图像分析例程序列。然后，我们通过将我们的软件与其他脂肪组织定量方法（即组织学切片中细胞的手动分析（用作金标准）和最常用的悬浮细胞自动分析）进行比较来评估我们的软件。我们的结果表明 Adiposoft 与其他两种方法具有显著的一致性。我们还证明了该方法能够区分三种不同大鼠脂肪沉积的细胞组成。此外，我们发现 Adiposoft 与细胞的手动描绘之间具有高度相关性和低分歧。我们得出结论，Adiposoft 提供了准确的结果，同时大大减少了分析所需的时间和精力。
