Three-Dimensional Visualization of Major Anatomical Structural Features in Softwood
Wood displays three-dimensional characteristics at both macroscopic and microscopic scales. Accurately reconstructing its 3D structure is vital for a deeper understanding of the relationship between its anatomical characteristics and its physical and mechanical properties. This study aims to apply X-ray micro-computed tomography (XμCT) for the high-resolution, non-destructive visualization and quantification of softwood anatomical features. Six typical softwood species—Picea asperata, Cupressus funebris, Pinus koraiensis, Pinus massoniana, Cedrus deodara, and Pseudotsuga menziesii—were selected to represent a range of structural characteristics. The results show that a scanning resolution of 1–2 μm is suitable for investigating the transition from earlywood to latewood and resin canals, while a resolution of 0.5 μm is required for finer structures such as bordered pits, ray tracheids, and cross-field pits. In Pinus koraiensis, a direct 3D connection between radial and axial resin canals was observed, forming an interconnected resin network. In contrast, wood rays were found to be distributed near the surface of axial resin canals but without forming interconnected structures. The three-dimensional reconstruction of bordered pit pairs in Pinus massoniana and Picea asperata clearly revealed interspecific differences in pit morphology, distribution, and volume. The average surface area and volume of bordered pit pairs in Pinus massoniana were 1151.60 μm2 and 1715.35 μm3, respectively, compared to 290.43 μm2 and 311.87 μm3 in Picea asperata. Furthermore, XμCT imaging effectively captured the morphology and spatial distribution of cross-field pits across species, demonstrating its advantage in comprehensive anatomical deconstruction. These findings highlight the potential of XμCT as a powerful tool for 3D analysis of wood anatomy, providing deeper insight into the structural complexity and interconnectivity of wood.
Authors
- Wanzhao Li (ORCID: https://orcid.org/0000-0001-9663-0346)
- Meng Ye (ORCID: https://orcid.org/0000-0002-6785-0099)
- Jiangtao Shi
- Shichao Zhao (ORCID: https://orcid.org/0009-0005-9982-7925)
Institutions
- Nanjing Forestry University (CN)
Publication Details
- Journal
- Forests
- Published
- 2025-04-22
- DOI
- https://doi.org/10.3390/f16050710
- Citations
- 3
- Primary Topic
- Forest ecology and management
- Type
- article
- Field-Weighted Citation Impact
- 6.94
Funders
- National Natural Science Foundation of China