干旱区生态环境知识资源中心(Arid): AutoCellRow (ACR) - A new tool for the automatic quantification of cell radial files in conifer images

Arid

DOI	10.1016/j.dendro.2020.125687
	AutoCellRow (ACR) - A new tool for the automatic quantification of cell radial files in conifer images
	Dyachuk, Petr 1; Arzac, Alberto 1; Peresunko, Pavel 1; Videnin, Sergey 1; Ilyin, Victor 1; Assaulianov, Roman 1; Babushkina, Elena A.3; Zhirnova, Dina 3; Belokopytova, Liliana 3; Vaganov, Eugene A.1,2; Shishov, Vladimir V.1,2,4
通讯作者	Arzac, Alberto
来源期刊	DENDROCHRONOLOGIA
ISSN	1125-7865
EISSN	1612-0051
出版年	2020
卷号	60
英文摘要	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.
英文关键词	Automated image analysis Cell radial file Quantitative wood anatomy Tracheidogram Tree ring
类型	Article
语种	英语
国家	Russia ; France
开放获取类型	Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000524972400003
WOS关键词	ANATOMY ; CLIMATE
WOS类目	Forestry ; Geography, Physical
WOS研究方向	Forestry ; Physical Geography
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/314312
作者单位	1.Siberian Fed Univ, 79 Svobodny Pr, Krasnoyarsk 660041, Russia; 2.Russian Acad Sci, Siberian Branch, VN Sukachev Inst Forest, Krasnoyarsk, Russia; 3.Siberian Fed Univ, Khakass Tech Inst, 27 Shchetinkina St, Abakan 655017, Russia; 4.Le Studium Loire Valley Inst Adv Studies, Orleans, France
推荐引用方式 GB/T 7714	Dyachuk, Petr,Arzac, Alberto,Peresunko, Pavel,et al. AutoCellRow (ACR) - A new tool for the automatic quantification of cell radial files in conifer images[J],2020,60.
APA	Dyachuk, Petr.,Arzac, Alberto.,Peresunko, Pavel.,Videnin, Sergey.,Ilyin, Victor.,...&Shishov, Vladimir V..(2020).AutoCellRow (ACR) - A new tool for the automatic quantification of cell radial files in conifer images.DENDROCHRONOLOGIA,60.
MLA	Dyachuk, Petr,et al."AutoCellRow (ACR) - A new tool for the automatic quantification of cell radial files in conifer images".DENDROCHRONOLOGIA 60(2020).