Abstract Quantitative wood anatomy (QWA) is a growing field of dendrochronology that allows obtaining a large number of parameters as the number, size and spatial arrangement of cellular elements, elements that highlight the adjustments of trees to their environment. In this work, we presented the free/libre open-source software AutoCellRow (ACR), a ready-to-use tool for automatic QWA in conifers. The ACR analyzes radial files of cells on cross-sections views of tree rings and provides automatic measurements of different cell parameters (e.g., lumen radial diameter, double cell wall thickness and cell radial diameter) for each cell along the selected radial file. The ACR measurements are based on high performed image analysis of xylem cells. The accuracy of the software measurements was tested in cross-sections of five conifer species from a semi-arid area of southern Siberia, and compared with measurements obtained by a semiautomatic tool. Our results suggested high accuracy in the ACR cell traits measurements, facilitating and speeding the analysis of quantitative wood anatomy in conifers over radial files of cells.

中文翻译：

---

AutoCellRow (ACR) – 一种用于自动量化针叶树图像中细胞径向文件的新工具

摘要 定量木材解剖学 (QWA) 是树木年代学的一个不断发展的领域，它允许获得大量参数，如细胞元素的数量、大小和空间排列，这些元素突出了树木对其环境的调整。在这项工作中，我们展示了免费/自由的开源软件 AutoCellRow (ACR)，这是一种用于针叶树自动 QWA 的现成工具。ACR 在树轮的横截面视图上分析细胞的径向文件，并为沿选定径向文件的每个细胞提供不同细胞参数（例如，腔径向直径、双细胞壁厚度和细胞径向直径）的自动测量。ACR 测量基于木质部细胞的高性能图像分析。软件测量的准确性在来自西伯利亚南部半干旱地区的五种针叶树物种的横截面中进行了测试，并与半自动工具获得的测量结果进行了比较。我们的结果表明 ACR 细胞性状测量的准确性很高，促进和加速了针叶树中对细胞径向文件的定量木材解剖学分析。