Distribution & Access For Publication Downloads News About Us Contact Us
Paper Titles
Stereometric Parameters of Butterfly Wings
p.1
Comparison of the Mathematics and Physics Models Fitting of Velocity Time-Dependent for Usain Bolt in the 100 Metres Sprint
p.11
Biomechanics Analysis of Different Angle of Sole’s Toe-Box Region during Walking and Jogging
p.22
Wavelet Based Machine Learning Technique to Classify the Different Shoulder Movement of Upper Limb Amputee
p.32
Stress Distribution of the Variable Dynamic Loading in the Dental Implant: A Three-Dimensional Finite Element Analysis
p.44
Temperature Coagulant Tub Variation Effect on the Characteristic of Hollow Fiber Dialyser from Cellulose Acetate Composite D-Glucose Monohydrate
p.53
Effect of Glutaraldehid on Human Amniotic Membrane Characteristics as Wound Dressing
p.61
Regeneration Mechanism of Full Thickness Cartilage Defect Using Combination of Freeze Dried Bovine Cartilage Scaffold - Allogenic Bone Marrow Mesenchymal Stem Cells - Platelet Rich Plasma Composite (SMPC) Implantation
p.70
Level of Nitrogen Oxide and Indicators of Oxidative-Antioxidative Status in the Gingival Tissues, Blood Plasma in Experimental Chronic Gastritis and Duodenitis and Drug Correction
p.83

Stereometric Parameters of Butterfly Wings

Article Preview

Abstract:

This paper analyses the data stereometric of three samples obtained using the atomic force microscope. The data concern the two butterfly species: Euploea mulciber (known as “Striped Blue Crow”) and Morpho didius (also named as “Giant Blue Morpho”). These species have a strong correlation color wings of the angle of incidence of light. This is structural coloration and it depends on the surface topography. Here we present a method for the topography evaluation. A script created in Matlab software version R2012 by MathWorks® was used for segmentation data stereometric and analysis of localized motifs occurring on the surface of the samples. An analysis of the data using stereometric software MountainsMap® Premium version 7.3.7746 by Digital Surf was made to compare the results obtained using the script developed in Matlab, for identification of all sorts of motifs, such as peaks, pits, or irregular shapes in correlation with the surface statistical parameters. The analysis of motifs is essential when choosing the appropriate technique for imaging the 3-D (three-dimensional) microtextured features of butterfly wings surfaces. This stereometric analysis proves to be an effective method that can be successfully used for estimation of micro- and nano- topography by processing of AFM data

You might also be interested in these eBooks
Journal of Biomimetics, Biomaterials and Biomedical Engineering Vol. 31 View Preview

Info:

Periodical:

Journal of Biomimetics, Biomaterials and Biomedical Engineering (Volume 31)

Pages:

1-10

DOI:

https://doi.org/10.4028/www.scientific.net/JBBBE.31.1

Citation:

Cite this paper

Online since:

March 2017

Authors:

Żaneta Garczyk, Sebastian Stach, Ştefan Ţălu, Dinara Sobola*, Zygmunt Wróbel

Keywords:

3D Surface Morphology, Atomic Force Microscopy, Butterfly Wings Surface, Segmentation, Stereometric Analysis

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

* - Corresponding Author

References

[1] F. Mika, J. Matějková-Plšková, S. Jiwajinda, P. Dechkrong, M. Shiojiri, Photonic Crystal Structure and Coloration of Wing Scales of Butterflies Exhibiting Selective Wavelength Iridescence. Materials 5 (2012) 754-771.

DOI: 10.3390/ma5050754

Google Scholar

[2] Sh. Niu, B. Li, Zh. Mu, M. Yang, J. Zhang, Zh. Han, L. Ren, Excellent Structure-Based Multifunction of Morpho Butterfly Wings: A Review. J. Bionic Eng. 12 (2015) 170–189.

DOI: 10.1016/s1672-6529(14)60111-6

Google Scholar

[3] Ş. Ţălu, Micro and nanoscale characterization of three dimensional surfaces. Basics and applications. Napoca Star Publishing House, Cluj-Napoca, Romania, (2015).

Google Scholar

[4] J.A. Adam, Mathematics in Nature: Modeling Patterns in the Natural World, Princeton University Press, USA, (2003).

Google Scholar

[5] J.G. Kingsolver, Butterfly Engineering. Sci. Am. 253, 2 (1985) 106-113.

Google Scholar

[6] A. Gruverman, B.J. Rodriguez, S.V. Kalinin, Nanoscale electromechanical and mechanical imaging of butterfly wings by Scanning Probe Microscopy, JSPM, 1, 2 (2006) 74-78.

DOI: 10.1166/jspm.2006.008

Google Scholar

[7] L.P. Biro, Z. Balint, K. Kertesz, Z. Vertesy, G.I. Mark, Z.E. Horvath, J. Balazs, D. Mehn, I. Kiricsi, V. Lousse, J. -P. Vigneron, Role of photonic-crystal-type structures in the thermal regulation of a Lycaenid butterfly sister species pair. Phys. Rev. E, 67, 2 (2003).

DOI: 10.1103/physreve.67.021907

Google Scholar

[8] J. Zhang, Y. Liang, J. Mao, X. Yang, Zh. Cui, Sh. Zhu, Zh. Li, 3D microporous Co3O4-carbon hybrids biotemplated from butterfly wings as high performance VOCs gas sensor. Sensor Actuat. B-Chem. 235 (2016) 420–431.

DOI: 10.1016/j.snb.2016.05.081

Google Scholar

[9] K. Liu, A. Vitae, L. Jiang, Bio-inspired design of multiscale structures for function integration. NanoToday 6, 2 (2011) 155–175.

Google Scholar

[10] T. Alieva, F. Agullo-Lopez, Optical wave propagation of fractal fields. Opt. Commun. 124 (1996) 267-274.

DOI: 10.1016/0030-4018(95)00702-4

Google Scholar

[11] Ş. Ţălu, Mathematical methods used in monofractal and multifractal analysis for the processing of biological and medical data and images. Anim. Biol. Anim. Husb., 4, 1 (2012) 1-4.

Google Scholar

[12] Ş. Ţălu, Texture analysis methods for the characterisation of biological and medical images. Extreme Life, Biospeology & Astrobiology, 4, 1 (2012) 8-12.

Google Scholar

[13] R. Jovani, L. Perez-Rodrıguez, F. Mougeot, Fractal geometry for animal biometrics: a response to Kuhl and Burghardt. Trends Ecol. Evol. 28 (2013) 499-500.

DOI: 10.1016/j.tree.2013.06.004

Google Scholar

[14] L. Perez-Rodriguez, R. Jovani, F. Mougeot, Fractal geometry of a complex plumage trait reveals bird's quality, P Roy. Soc. Edinb. B 280 (2013) 1755.

DOI: 10.1098/rspb.2012.2783

Google Scholar

[15] A.A. Castrejón-Pita, A. Sarmiento-Galán, J.R. Castrejón-Pita, R. Castrejón-García, Fractal Dimension in Butterflies' Wings: a novel approach to understanding wing patterns? J. Math. Biol., 50, 5 (2005) 584-594.

DOI: 10.1007/s00285-004-0302-6

Google Scholar

[16] D. Dallaeva, P. Tomanek, AFM study of structure influence on butterfly wings coloration, AEEE 10, 2 (2012) 120-124.

DOI: 10.15598/aeee.v10i2.616

Google Scholar

[17] D. Dallaeva, Sh. Ramazanov, E. Prokopyeva, P. Kaspar, P. Tománek, AFM Imaging of natural optical structures. AEEE 12, 6 (2014) 639-644.

DOI: 10.15598/aeee.v12i6.1185

Google Scholar

[18] MathWorks® documentation for Matlab, http: /www. mathworks. com/help.

Google Scholar

[19] MountainsMap® 7 Software (Digital Surf, Besançon, France). Available from: http: /www. digitalsurf. fr (last accessed February 10th, 2017).

Google Scholar

[20] S. Stach, Ż. Garczyk, Ş. Ţălu, S. Solaymani, A. Ghaderi, R. Moradian, B. Nezafat Negin, S.M. Elahi, H. Gholamali, Stereometric Parameters of the Cu/Fe NPs Thin Films, J. Phys. Chem. C, 119, 31 (2015) 17887-17898. DOI: 10. 1021/acs. jpcc. 5b04676.

DOI: 10.1021/acs.jpcc.5b04676

Google Scholar

[21] S. Stach, W. Sapota, Ş. Ţălu, A. Ahmadpourian, C. Luna, N. Ghobadi, A. Arman, M. Ganji, 3-D surface stereometry studies of sputtered TiN thin films obtained at different substrate temperatures, J Mater Sci: Mater. Electron, 28, 2 (2017).

DOI: 10.1007/s10854-016-5774-9

Google Scholar

[22] R. Leach, Characterisation of Areal Surface Texture, Springer, Berlin, (2013).

Google Scholar

Scientific.Net is a registered brand of Trans Tech Publications Ltd
© 2024 by Trans Tech Publications Ltd. All Rights Reserved