An image based application in Matlab for automated modelling and morphological analysis of insect wings.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
17 08 2022
Historique:
received: 24 01 2022
accepted: 02 08 2022
entrez: 17 8 2022
pubmed: 18 8 2022
medline: 20 8 2022
Statut: epublish

Résumé

Despite extensive research on the biomechanics of insect wings over the past years, direct mechanical measurements on sensitive wing specimens remain very challenging. This is especially true for examining delicate museum specimens. This has made the finite element method popular in studies of wing biomechanics. Considering the complexities of insect wings, developing a wing model is usually error-prone and time-consuming. Hence, numerical studies in this area have often accompanied oversimplified models. Here we address this challenge by developing a new tool for fast, precise modelling of insect wings. This application, called WingGram, uses computer vision to detect the boundaries of wings and wing cells from a 2D image. The app can be used to develop wing models that include complex venations, corrugations and camber. WingGram can extract geometric features of the wings, including dimensions of the wing domain and subdomains and the location of vein junctions. Allowing researchers to simply model wings with a variety of forms, shapes and sizes, our application can facilitate studies of insect wing morphology and biomechanics. Being an open-access resource, WingGram has a unique application to expand how scientists, educators, and industry professionals analyse insect wings and similar shell structures in other fields, such as aerospace.

Identifiants

pubmed: 35977980
doi: 10.1038/s41598-022-17859-9
pii: 10.1038/s41598-022-17859-9
pmc: PMC9386019
doi:

Banques de données

figshare
['10.6084/m9.figshare.13350629']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

13917

Informations de copyright

© 2022. The Author(s).

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Auteurs

Shahab Eshghi (S)

Department of Functional Morphology and Biomechanics, Institute of Zoology, Kiel University, Kiel, Germany. eshghi.shahab@gmail.com.

Fatemeh Nabati (F)

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

Shaghayegh Shafaghi (S)

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

Vahid Nooraeefar (V)

Faculty of Mechanical Engineering, University of Guilan, Rasht, Iran.

Abolfazl Darvizeh (A)

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

Stanislav N Gorb (SN)

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

Hamed Rajabi (H)

Division of Mechanical Engineering and Design, School of Engineering, London South Bank University, London, UK.

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Classifications MeSH