
Large-scale 3D imaging of insects with natural color
Author(s) -
Jia Qian,
Shipei Dang,
Zhaojun Wang,
Xing Zhou,
Dan Dan,
Baoli Yao,
Yijie Tong,
Haidong Yang,
Yuanyuan Lu,
Yandong Chen,
Xingke Yang,
Ming Bai,
Ming Lei
Publication year - 2019
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.27.004845
Subject(s) - bionics , computer science , scale (ratio) , high resolution , remote sensing , artificial intelligence , computer vision , geology , cartography , geography
High-resolution 3D imaging technology has found a number of applications in many biological fields. However, the existing 3D imaging tools are often too time-consuming to use on large-scale specimens, such as centimeter-sized insects. In addition, most 3D imaging systems discard the natural color information of the specimens. To surmount these limitations, we present a structured illumination-based approach capable of delivering large field-of-view three-dimensional images. With this approach, 580nm lateral resolution full-color 3D images and 3D morphological data in the size range of typical insect samples can be obtained. This method provides a promising approach that can be used to support many different types of entomological investigations, including taxonomy, evolution, bionics, developmental biology, functional morphology, paleontology, forestry, etc.