AutoCellRow (ACR) – A new tool for the automatic quantification of cell radial files in conifer images |
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| Institution: | 1. Siberian Federal University, 79 Svobodny pr., 660041, Krasnoyarsk, Russia;2. V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russia;3. Khakass Technical Institute, Siberian Federal University, 27 Shchetinkina St., 655017, Abakan, Russia;4. Le Studium Loire Valley Institute for Advanced Studies, Orleans, France;1. Department of Geography, 207 Old Mill Building, 94 University Place, University of Vermont, Burlington, VT 05405 USA;2. Forest Ecosystem Monitoring Cooperative, 705 Spear Street, South Burlington, VT 05403 USA;3. Rubenstein School of the Environment and Natural Resources, University of Vermont, Burlington, VT 05405 USA;4. Forest Service, U.S. Department of Agriculture, Northern Research Station, Burlington, VT 05405 USA;1. Khakass Technical Institute, Siberian Federal University, 27 Shchetinkina, 655017 Abakan, Russia;2. Siberian Federal University, 79 Svobodny, 660041 Krasnoyarsk, Russia;3. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Sciences, 50/28 Akademgorodok, 660036 Krasnoyarsk, Russia;4. Center for Forest Ecology and Productivity, Russian Academy of Sciences, 84/32 bldg. 14 Profsoyuznaya st., 117997 Moscow, Russia;1. Siberian Federal University, 79 Svobodny pr., 660041 Krasnoyarsk, Russia;2. V.N. Sukachev Institute of Forest SB RAS, Federal Research Center ‘Krasnoyarsk Science Center SB RAS‘, Akademgorodok 50/28, Krasnoyarsk 660036, Russia;3. Department of Geography, University of Cambridge, CB2 3EN, UK;1. Siberian Federal University, 79 Svobodny pr., 660041 Krasnoyarsk, Russia;2. V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Sciences, Akademgorodok 50/28, 660036 Krasnoyarsk, Russia;3. Department of Pathological Anatomy, Faculty of Medicine, University of Cadiz, Plaza Falla 9, 11003 Cadiz, Spain;4. Khakass Technical Institute, Siberian Federal University, 27 Shchetinkina St., 655017 Abakan, Russia;1. WSL Swiss Federal Research Institute, Landscape Dynamics, CH-8903, Birmensdorf, Switzerland;2. Khakass Technical Institute, Siberian Federal University, 655017 Abakan, Russia |
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| 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. |
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| Keywords: | Automated image analysis Cell radial file Quantitative wood anatomy Tracheidogram Tree ring |
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