Mylo, Max D. ; Poppinga, Simon (2024)
Digital image correlation techniques for motion analysis and biomechanical characterization of plants.
In: Frontiers in Plant Science, 14
doi: 10.3389/fpls.2023.1335445
Artikel, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
Temporally and spatially complex 3D deformation processes appear in plants in a variety of ways and are difficult to quantify in detail by classical cinematographic methods. Furthermore, many biomechanical test methods, e.g. regarding compression or tension, result in quasi-2D deformations of the tested structure, which are very time-consuming to analyze manually regarding strain fields. In materials testing, the contact-free optical 2D- or 3D-digital image correlation method (2D/3D-DIC) is common practice for similar tasks, but is still rather seldom used in the fundamental biological sciences. The present review aims to highlight the possibilities of 2D/3D-DIC for the plant sciences. The equipment, software, and preparative prerequisites are introduced in detail and advantages and disadvantages are discussed. In addition to the analysis of wood and trees, where DIC has been used since the 1990s, this is demonstrated by numerous recent approaches in the contexts of parasite-host attachment, cactus joint biomechanics, fruit peel impact resistance, and slow as well as fast movement phenomena in cones and traps of carnivorous plants. Despite some technical and preparative efforts, DIC is a very powerful tool for full-field 2D/3D displacement and strain analyses of plant structures, which is suitable for numerous in-depth research questions in the fields of plant biomechanics and morphogenesis.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2024 |
| Autor(en): | Mylo, Max D. ; Poppinga, Simon |
| Art des Eintrags: | Bibliographie |
| Titel: | Digital image correlation techniques for motion analysis and biomechanical characterization of plants |
| Sprache: | Englisch |
| Publikationsjahr: | 11 Januar 2024 |
| Ort: | Lausanne |
| Verlag: | Frontiers Media S.A. |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Frontiers in Plant Science |
| Jahrgang/Volume einer Zeitschrift: | 14 |
| Kollation: | 19 Seiten |
| DOI: | 10.3389/fpls.2023.1335445 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | Temporally and spatially complex 3D deformation processes appear in plants in a variety of ways and are difficult to quantify in detail by classical cinematographic methods. Furthermore, many biomechanical test methods, e.g. regarding compression or tension, result in quasi-2D deformations of the tested structure, which are very time-consuming to analyze manually regarding strain fields. In materials testing, the contact-free optical 2D- or 3D-digital image correlation method (2D/3D-DIC) is common practice for similar tasks, but is still rather seldom used in the fundamental biological sciences. The present review aims to highlight the possibilities of 2D/3D-DIC for the plant sciences. The equipment, software, and preparative prerequisites are introduced in detail and advantages and disadvantages are discussed. In addition to the analysis of wood and trees, where DIC has been used since the 1990s, this is demonstrated by numerous recent approaches in the contexts of parasite-host attachment, cactus joint biomechanics, fruit peel impact resistance, and slow as well as fast movement phenomena in cones and traps of carnivorous plants. Despite some technical and preparative efforts, DIC is a very powerful tool for full-field 2D/3D displacement and strain analyses of plant structures, which is suitable for numerous in-depth research questions in the fields of plant biomechanics and morphogenesis. |
| Freie Schlagworte: | complex movements, deformation mapping, digital volume correlation, motion characterization, strain analysis, photogrammetry |
| ID-Nummer: | Artikel-ID: 1335445 |
| Zusätzliche Informationen: | Sec. Technical Advances in Plant Science |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie 500 Naturwissenschaften und Mathematik > 580 Pflanzen (Botanik) 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik |
| Fachbereich(e)/-gebiet(e): | 10 Fachbereich Biologie 10 Fachbereich Biologie > Botanischer Garten |
| Hinterlegungsdatum: | 12 Jun 2024 14:32 |
| Letzte Änderung: | 12 Jun 2024 14:32 |
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| Suche nach Titel in: | TUfind oder in Google |
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Digital image correlation techniques for motion analysis and biomechanical characterization of plants. (deposited 11 Jun 2024 11:49)
- Digital image correlation techniques for motion analysis and biomechanical characterization of plants. (deposited 12 Jun 2024 14:32) [Gegenwärtig angezeigt]
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