Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.
Museum of Comparative Zoology, Harvard University, Cambridge, MA, USA.
Commun Biol. 2022 Dec 1;5(1):1318. doi: 10.1038/s42003-022-04282-z.
We present an economical imaging system with integrated hardware and software to capture multispectral images of Lepidoptera with high efficiency. This method facilitates the comparison of colors and shapes among species at fine and broad taxonomic scales and may be adapted for other insect orders with greater three-dimensionality. Our system can image both the dorsal and ventral sides of pinned specimens. Together with our processing pipeline, the descriptive data can be used to systematically investigate multispectral colors and shapes based on full-wing reconstruction and a universally applicable ground plan that objectively quantifies wing patterns for species with different wing shapes (including tails) and venation systems. Basic morphological measurements, such as body length, thorax width, and antenna size are automatically generated. This system can increase exponentially the amount and quality of trait data extracted from museum specimens.
我们提出了一种经济实用的成像系统，集成了硬件和软件，能够高效地捕获鳞翅目昆虫的多光谱图像。这种方法有助于在精细和广泛的分类尺度上比较物种之间的颜色和形状，并且可以适应于具有更大三维结构的其他昆虫目。我们的系统可以对针插标本的背面和正面进行成像。结合我们的处理流程，描述性数据可用于基于全翅重建和普遍适用的基准面系统地研究多光谱颜色和形状，该基准面客观地量化了具有不同翅形（包括尾巴）和脉序系统的物种的翅型。自动生成基本形态测量值，如体长、胸宽和触角大小。该系统可以使从博物馆标本中提取的特征数据的数量和质量呈指数级增长。
