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Magnetic resonance imaging reveals functional anatomy and biomechanics of a living dragon tree

Hesse, Linnea; Masselter, Tom; Leupold, Jochen; Spengler, Nils 1; Speck, Thomas; Korvink, Jan Gerrit 1
1 Institut für Mikrostrukturtechnik (IMT), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Magnetic resonance imaging (MRI) was used to gain in vivo insight into load-induced displacements of inner plant tissues making a non-invasive and non-destructive stress and strain analysis possible. The central aim of this study was the identification of a possible load-adapted orientation of the vascular bundles and their fibre caps as the mechanically relevant tissue in branch-stem-attachments of Dracaena marginata. The complex three-dimensional deformations that occur during mechanical loading can be analysed on the basis of quasi-three-dimensional data representations of the outer surface, the inner tissue arrangement (meristem and vascular system), and the course of single vascular bundles within the branch-stem-attachment region. In addition, deformations of vascular bundles could be quantified manually and by using digital image correlation software. This combination of qualitative and quantitative stress and strain analysis leads to an improved understanding of the functional morphology and biomechanics of D. marginata, a plant that is used as a model organism for optimizing branched technical fibre-reinforced lightweight trusses in order to increase their load bearing capacity.


Volltext §
DOI: 10.5445/IR/1000059557
Originalveröffentlichung
DOI: 10.1038/srep32685
Scopus
Zitationen: 17
Dimensions
Zitationen: 16
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Mikrostrukturtechnik (IMT)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2016
Sprache Englisch
Identifikator ISSN: 2045-2322
urn:nbn:de:swb:90-595573
KITopen-ID: 1000059557
HGF-Programm 43.22.01 (POF III, LK 01) Functionality by Design
Erschienen in Scientific reports
Verlag Nature Research
Band 6
Seiten 32685
Nachgewiesen in Dimensions
PubMed
Web of Science
Scopus
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