Allometric Scaling Reveals Evolutionary Constraint on Odonata Wing Cellularity via Critical Crack Length.

MATLAB computer‐vision entomology image‐processing morphology

Journal

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
ISSN: 2198-3844
Titre abrégé: Adv Sci (Weinh)
Pays: Germany
ID NLM: 101664569

Informations de publication

Date de publication:
13 Apr 2024
Historique:
revised: 27 02 2024
received: 23 01 2024
medline: 13 4 2024
pubmed: 13 4 2024
entrez: 13 4 2024
Statut: aheadofprint

Résumé

Scaling in insect wings is a complex phenomenon that seems pivotal in maintaining wing functionality. In this study, the relationship between wing size and the size, location, and shape of wing cells in dragonflies and damselflies (Odonata) is investigated, aiming to address the question of how these factors are interconnected. To this end, WingGram, the recently developed computer-vision-based software, is used to extract the geometric features of wing cells of 389 dragonflies and damselfly wings from 197 species and 16 families. It has been found that the cell length of the wings does not depend on the wing size. Despite the wide variation in wing length (8.42 to 56.5 mm) and cell length (0.1 to 8.5 mm), over 80% of the cells had a length ranging from 0.5 to 1.5 mm, which was previously identified as the critical crack length of the membrane of locust wings. An isometric scaling of cells is also observed with maximum size in each wing, which increased as the size increased. Smaller cells tended to be more circular than larger cells. The results have implications for bio-mimetics, inspiring new materials and designs for artificial wings with potential applications in aerospace engineering and robotics.

Identifiants

pubmed: 38613834
doi: 10.1002/advs.202400844
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2400844

Subventions

Organisme : German Academic Exchange Service (DAAD)
ID : 57440921

Informations de copyright

© 2024 The Authors. Advanced Science published by Wiley‐VCH GmbH.

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Auteurs

Shahab Eshghi (S)

Department of Functional Morphology and Biomechanics, Zoological Institute, Kiel University, 24118, Kiel, Germany.

Hamed Rajabi (H)

Division of Mechanical Engineering and Design, School of Engineering, London South Bank University, London, SE1 0AA, UK.
Mechanical Intelligence Research Group, South Bank Applied BioEngineering Research (SABER), School of Engineering, London South Bank University, London, SE1 0AA, UK.

Shaghayegh Shafaghi (S)

Department of Mechanical Engineering, Ahrar Institute of Technology and Higher Education, Rasht, 4193163591, Iran.

Fatemeh Nabati (F)

Department of Mechanical Engineering, Ahrar Institute of Technology and Higher Education, Rasht, 4193163591, Iran.

Sana Nazerian (S)

Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Henkestraße 91, 91052, Erlangen, Germany.

Abolfazl Darvizeh (A)

Department of Mechanical Engineering, Ahrar Institute of Technology and Higher Education, Rasht, 4193163591, Iran.
Faculty of Mechanical Engineering, University of Guilan, Rasht, 4199613776, Iran.

Stanislav N Gorb (SN)

Department of Functional Morphology and Biomechanics, Zoological Institute, Kiel University, 24118, Kiel, Germany.

Classifications MeSH