{"title":"竹秆基部导电组织的三维可视化","authors":"Shan Li, Chenjun Liu, Yangao Wang, Lili Shang, Xing’e Liu, Siyuan Wang, Shumin Yang","doi":"10.1007/s00226-024-01579-6","DOIUrl":null,"url":null,"abstract":"<div><p>Bamboo is one of the most rapidly growing plants with a highly sophisticated root and rhizome system in its culm base, where conducting tissue plays a key role in water and nutrient absorption and transportation. However, our knowledge of the three-dimensional structure of the conducting tissue is incomplete due to the opacity of the bamboo. In this paper, the spatial relationships of the conducting tissues among the main stem, root and rhizome of the culm base are explored. The culm base of a <i>Chimonobambusa tumidissinoda</i> was used for the analysis and high-resolution X-ray microtomography (μCT) was employed. A deep learning algorithm was used to segment the conducting tissue from the culm base. 3D model reconstruction and semi-quantitative characterization of the conducting tissue were realized. It was found that the anatomical characteristics among the main stem, root and rhizome are different, but the conducting tissues in these structures are interconnected in different ways. The transverse conducting tissue mainly originated from the rhizome rather than the root, and its thickness gradually decreased from the bottom of culm base to its top, contrary to the structure of the axial conducting tissue. The results indicate that μCT combined with deep learning segmentation effectively visualizes complex conducting tissue structures, volume filtering enhances detailed observation of network structures within conducting tissues, which provides new insights into the bamboo’s culm base structure and evidence of the sophisticated and interconnected fluid motion pathways among the different tissues of the culm base.</p></div>","PeriodicalId":810,"journal":{"name":"Wood Science and Technology","volume":"58 4","pages":"1585 - 1603"},"PeriodicalIF":3.1000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Three-dimensional visualization of the conducting tissue in a bamboo culm base\",\"authors\":\"Shan Li, Chenjun Liu, Yangao Wang, Lili Shang, Xing’e Liu, Siyuan Wang, Shumin Yang\",\"doi\":\"10.1007/s00226-024-01579-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Bamboo is one of the most rapidly growing plants with a highly sophisticated root and rhizome system in its culm base, where conducting tissue plays a key role in water and nutrient absorption and transportation. However, our knowledge of the three-dimensional structure of the conducting tissue is incomplete due to the opacity of the bamboo. In this paper, the spatial relationships of the conducting tissues among the main stem, root and rhizome of the culm base are explored. The culm base of a <i>Chimonobambusa tumidissinoda</i> was used for the analysis and high-resolution X-ray microtomography (μCT) was employed. A deep learning algorithm was used to segment the conducting tissue from the culm base. 3D model reconstruction and semi-quantitative characterization of the conducting tissue were realized. It was found that the anatomical characteristics among the main stem, root and rhizome are different, but the conducting tissues in these structures are interconnected in different ways. The transverse conducting tissue mainly originated from the rhizome rather than the root, and its thickness gradually decreased from the bottom of culm base to its top, contrary to the structure of the axial conducting tissue. The results indicate that μCT combined with deep learning segmentation effectively visualizes complex conducting tissue structures, volume filtering enhances detailed observation of network structures within conducting tissues, which provides new insights into the bamboo’s culm base structure and evidence of the sophisticated and interconnected fluid motion pathways among the different tissues of the culm base.</p></div>\",\"PeriodicalId\":810,\"journal\":{\"name\":\"Wood Science and Technology\",\"volume\":\"58 4\",\"pages\":\"1585 - 1603\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Wood Science and Technology\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s00226-024-01579-6\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"FORESTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wood Science and Technology","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1007/s00226-024-01579-6","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 0
摘要
竹子是生长最迅速的植物之一,在其茎秆基部有非常复杂的根和根茎系统,其中导电组织在水分和养分的吸收和运输中起着关键作用。然而,由于竹子的不透明性,我们对导电组织三维结构的了解并不全面。本文探讨了秆基部主茎、根和根茎之间导电组织的空间关系。分析采用了高分辨率 X 射线显微层析成像(μCT)技术,并利用深度学习算法对竹子秆基部的导电组织进行了划分。利用深度学习算法对茎秆基部的导电组织进行分割。实现了导电组织的三维模型重建和半定量表征。研究发现,主茎、根和根茎的解剖特征不同,但这些结构中的导电组织以不同的方式相互连接。横向导电组织主要来源于根茎而非根部,其厚度从茎秆基部底部到顶部逐渐减小,这与轴向导电组织的结构相反。结果表明,μCT结合深度学习分割技术可有效地将复杂的导电组织结构可视化,体积过滤技术可增强对导电组织内部网络结构的详细观察,从而为了解竹子秆基部结构提供了新的视角,并证明了秆基部不同组织之间复杂而相互关联的流体运动路径。
Three-dimensional visualization of the conducting tissue in a bamboo culm base
Bamboo is one of the most rapidly growing plants with a highly sophisticated root and rhizome system in its culm base, where conducting tissue plays a key role in water and nutrient absorption and transportation. However, our knowledge of the three-dimensional structure of the conducting tissue is incomplete due to the opacity of the bamboo. In this paper, the spatial relationships of the conducting tissues among the main stem, root and rhizome of the culm base are explored. The culm base of a Chimonobambusa tumidissinoda was used for the analysis and high-resolution X-ray microtomography (μCT) was employed. A deep learning algorithm was used to segment the conducting tissue from the culm base. 3D model reconstruction and semi-quantitative characterization of the conducting tissue were realized. It was found that the anatomical characteristics among the main stem, root and rhizome are different, but the conducting tissues in these structures are interconnected in different ways. The transverse conducting tissue mainly originated from the rhizome rather than the root, and its thickness gradually decreased from the bottom of culm base to its top, contrary to the structure of the axial conducting tissue. The results indicate that μCT combined with deep learning segmentation effectively visualizes complex conducting tissue structures, volume filtering enhances detailed observation of network structures within conducting tissues, which provides new insights into the bamboo’s culm base structure and evidence of the sophisticated and interconnected fluid motion pathways among the different tissues of the culm base.
期刊介绍:
Wood Science and Technology publishes original scientific research results and review papers covering the entire field of wood material science, wood components and wood based products. Subjects are wood biology and wood quality, wood physics and physical technologies, wood chemistry and chemical technologies. Latest advances in areas such as cell wall and wood formation; structural and chemical composition of wood and wood composites and their property relations; physical, mechanical and chemical characterization and relevant methodological developments, and microbiological degradation of wood and wood based products are reported. Topics related to wood technology include machining, gluing, and finishing, composite technology, wood modification, wood mechanics, creep and rheology, and the conversion of wood into pulp and biorefinery products.