Quantitative analysis of wing interference patterns in Drosophila spp. using hyperspectral images
Quantitative analysis of wing interference patterns in Drosophila spp. using hyperspectral images
复制标题
果蝇翅膀干涉模式的定量分析。
DOI：
10.1111/phen.12405
复制
发表时间：
2023
影响因子：
1.5
通讯作者：
Kazuo H. Takahashi
中科院分区：
文献类型：
--
作者：
Keita Koeda;Masahiro Aizawa;Kazuo Sakamoto;Rei Ueshima;Kazuo H. Takahashi
最近的研究报道了双翅目和膜翅目小昆虫的翅膀干涉图（WIPs），它反映了翅膀的微观结构。WIPs已经使用RGB或多光谱图像进行了评估，但与这些方法相反，高光谱图像允许对光谱变化进行更详细的分析，这可能不是RGB或多光谱图像所能捕捉到的。在这里，我调查了12果蝇种高光谱图像的WIPs。对机翼区域的六个隔室中的每一个和整个机翼（包括所有六个隔室）计算平均谱。这些信息被用来评估性别和种间差异的果蝇12种的WIPs。此外，还利用随机森林机器学习算法探讨了基于WIPs的物种识别的可能性。本研究表明，显着的性别和种间差异的WIPs的每个六个隔间的翅膀区域，以及整个翅膀区域。随机森林机器学习算法的结果表明了基于WIPs的物种识别的可能性。
Recent studies have reported wing interference patterns (WIPs), which reflect the microstructure of the wing, for small insects belonging to the Diptera and Hymenoptera orders. WIPs have been evaluated using RGB or multispectral images, but in contrast to these approaches, hyperspectral images allow a more detailed analysis of spectral variation, which may not be captured by RGB or multispectral images. Here, I investigated the WIPs of 12Drosophilaspecies using hyperspectral images. The average spectrum was calculated for each of the six compartments of the wing region and for the entire wing, including all six compartments. This information was used to evaluate sexual and interspecific differences in the WIPs of 12Drosophilaspecies. In addition, the possibility of species discrimination based on WIPs was explored using the random forest machine learning algorithm. The present study demonstrates significant sex and interspecific differences in WIPs for each of the six compartments of the wing regions as well as for the entire wing region. The results of the random forest machine learning algorithm suggested the possibility of species identification based on WIPs.
Culicoides Latreille 图案翅膀中的翼干涉图案，1809（双翅目：Ceratopogonidae）-探索潜在的识别工具。
影响因子：
0.9
作者：
Agata Pielowska;J. Szwedo
通讯作者：
J. Szwedo
Coniceromyia Borgmeier（双翅目：Phoridae）翅膀干扰模式与体型之间的相关性及其对理解前者作为性选择特征的影响
影响因子：
1.9
作者：
D. C. Ament
通讯作者：
D. C. Ament
DOI：
10.1098/rspb.2018.2850
发表时间：
2019-05-22
影响因子：
4.7
作者：
Hawkes, M. F.;Duffy, E.;Troscianko, J.
通讯作者：
Troscianko, J.