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Capturing Natural-Colour 3D Models of Insects for Species Discovery and Diagnostics

Overview of attention for article published in PLOS ONE, April 2014
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Title
Capturing Natural-Colour 3D Models of Insects for Species Discovery and Diagnostics
Published in
PLOS ONE, April 2014
DOI 10.1371/journal.pone.0094346
Pubmed ID
Authors

Chuong V. Nguyen, David R. Lovell, Matt Adcock, John La Salle

Abstract

Collections of biological specimens are fundamental to scientific understanding and characterization of natural diversity-past, present and future. This paper presents a system for liberating useful information from physical collections by bringing specimens into the digital domain so they can be more readily shared, analyzed, annotated and compared. It focuses on insects and is strongly motivated by the desire to accelerate and augment current practices in insect taxonomy which predominantly use text, 2D diagrams and images to describe and characterize species. While these traditional kinds of descriptions are informative and useful, they cannot cover insect specimens "from all angles" and precious specimens are still exchanged between researchers and collections for this reason. Furthermore, insects can be complex in structure and pose many challenges to computer vision systems. We present a new prototype for a practical, cost-effective system of off-the-shelf components to acquire natural-colour 3D models of insects from around 3 mm to 30 mm in length. ("Natural-colour" is used to contrast with "false-colour", i.e., colour generated from, or applied to, gray-scale data post-acquisition.) Colour images are captured from different angles and focal depths using a digital single lens reflex (DSLR) camera rig and two-axis turntable. These 2D images are processed into 3D reconstructions using software based on a visual hull algorithm. The resulting models are compact (around 10 megabytes), afford excellent optical resolution, and can be readily embedded into documents and web pages, as well as viewed on mobile devices. The system is portable, safe, relatively affordable, and complements the sort of volumetric data that can be acquired by computed tomography. This system provides a new way to augment the description and documentation of insect species holotypes, reducing the need to handle or ship specimens. It opens up new opportunities to collect data for research, education, art, entertainment, biodiversity assessment and biosecurity control.

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Geographical breakdown

Country Count As %
Germany 3 1%
Brazil 3 1%
Australia 2 <1%
United States 2 <1%
United Kingdom 2 <1%
Italy 1 <1%
Czechia 1 <1%
Argentina 1 <1%
Colombia 1 <1%
Other 4 2%
Unknown 193 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 20%
Student > Ph. D. Student 36 17%
Student > Bachelor 29 14%
Student > Master 27 13%
Other 15 7%
Other 29 14%
Unknown 34 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 95 45%
Engineering 15 7%
Computer Science 14 7%
Earth and Planetary Sciences 10 5%
Environmental Science 9 4%
Other 31 15%
Unknown 39 18%