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Hyperspectral optical imaging of two different species of lepidoptera.

Medina JM, Nascimento SM, Vukusic P - Nanoscale Res Lett (2011)

Bottom Line: Color coordinates from reflectance spectra were calculated taking into account human spectral sensitivity.For each butterfly wing, the observed color is described by a characteristic color map in the chromaticity diagram and spreads over a limited volume in the color space.The results suggest that variability in the reflectance spectra is correlated with different random arrangements in the spatial distribution of the scales that cover the wing membranes.

View Article: PubMed Central - HTML - PubMed

Affiliation: Centre of Physics, University of Minho, Campus de Gualtar, Braga, 4710-057, Portugal. jmanuel@fisica.uminho.pt.

ABSTRACT
In this article, we report a hyperspectral optical imaging application for measurement of the reflectance spectra of photonic structures that produce structural colors with high spatial resolution. The measurement of the spectral reflectance function is exemplified in the butterfly wings of two different species of Lepidoptera: the blue iridescence reflected by the nymphalid Morpho didius and the green iridescence of the papilionid Papilio palinurus. Color coordinates from reflectance spectra were calculated taking into account human spectral sensitivity. For each butterfly wing, the observed color is described by a characteristic color map in the chromaticity diagram and spreads over a limited volume in the color space. The results suggest that variability in the reflectance spectra is correlated with different random arrangements in the spatial distribution of the scales that cover the wing membranes. Hyperspectral optical imaging opens new ways for the non-invasive study and classification of different forms of irregularity in structural colors.

No MeSH data available.


Related in: MedlinePlus

The reflectance factor (%) as a function of the wavelength measured with the hyperspectral system. (a) Examples of the M. didius (blue). (b) Examples of the P. palinurus (green). Each spectrum corresponds to the reflectance factor in a different CCD's pixel and thus in a different spatial position. In both cases, only a fraction of data is represented.
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Figure 2: The reflectance factor (%) as a function of the wavelength measured with the hyperspectral system. (a) Examples of the M. didius (blue). (b) Examples of the P. palinurus (green). Each spectrum corresponds to the reflectance factor in a different CCD's pixel and thus in a different spatial position. In both cases, only a fraction of data is represented.

Mentions: Figure 2a, b represents in a linear plot, the reflectance factor (%) for M. didius and P. palinurus, respectively. Each spectrum corresponds to the relative reflectance in each pixel and thus in a different spatial position of the butterfly wing. Only a fraction of data is displayed. The spectral profile agrees well with the data collected using conventional spectrophotometers [1,9]. Note that many reflectance values are over 100% owing to the highly directional reflectivity of the scales in comparison with the white diffuser. The spectral reflectance factor peaks at 502 nm for M. didius and for P. palinurus at 562 nm. Maximum values were 876 and 121%, respectively.


Hyperspectral optical imaging of two different species of lepidoptera.

Medina JM, Nascimento SM, Vukusic P - Nanoscale Res Lett (2011)

The reflectance factor (%) as a function of the wavelength measured with the hyperspectral system. (a) Examples of the M. didius (blue). (b) Examples of the P. palinurus (green). Each spectrum corresponds to the reflectance factor in a different CCD's pixel and thus in a different spatial position. In both cases, only a fraction of data is represented.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3211459&req=5

Figure 2: The reflectance factor (%) as a function of the wavelength measured with the hyperspectral system. (a) Examples of the M. didius (blue). (b) Examples of the P. palinurus (green). Each spectrum corresponds to the reflectance factor in a different CCD's pixel and thus in a different spatial position. In both cases, only a fraction of data is represented.
Mentions: Figure 2a, b represents in a linear plot, the reflectance factor (%) for M. didius and P. palinurus, respectively. Each spectrum corresponds to the relative reflectance in each pixel and thus in a different spatial position of the butterfly wing. Only a fraction of data is displayed. The spectral profile agrees well with the data collected using conventional spectrophotometers [1,9]. Note that many reflectance values are over 100% owing to the highly directional reflectivity of the scales in comparison with the white diffuser. The spectral reflectance factor peaks at 502 nm for M. didius and for P. palinurus at 562 nm. Maximum values were 876 and 121%, respectively.

Bottom Line: Color coordinates from reflectance spectra were calculated taking into account human spectral sensitivity.For each butterfly wing, the observed color is described by a characteristic color map in the chromaticity diagram and spreads over a limited volume in the color space.The results suggest that variability in the reflectance spectra is correlated with different random arrangements in the spatial distribution of the scales that cover the wing membranes.

View Article: PubMed Central - HTML - PubMed

Affiliation: Centre of Physics, University of Minho, Campus de Gualtar, Braga, 4710-057, Portugal. jmanuel@fisica.uminho.pt.

ABSTRACT
In this article, we report a hyperspectral optical imaging application for measurement of the reflectance spectra of photonic structures that produce structural colors with high spatial resolution. The measurement of the spectral reflectance function is exemplified in the butterfly wings of two different species of Lepidoptera: the blue iridescence reflected by the nymphalid Morpho didius and the green iridescence of the papilionid Papilio palinurus. Color coordinates from reflectance spectra were calculated taking into account human spectral sensitivity. For each butterfly wing, the observed color is described by a characteristic color map in the chromaticity diagram and spreads over a limited volume in the color space. The results suggest that variability in the reflectance spectra is correlated with different random arrangements in the spatial distribution of the scales that cover the wing membranes. Hyperspectral optical imaging opens new ways for the non-invasive study and classification of different forms of irregularity in structural colors.

No MeSH data available.


Related in: MedlinePlus