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An automated device for the digitization and 3D modelling of insects, combining extended-depth-of-field and all-side multi-view imaging

Ströbel, Bernhard and Schmelzle, Sebastian and Blüthgen, Nico and Heethoff, Michael :
An automated device for the digitization and 3D modelling of insects, combining extended-depth-of-field and all-side multi-view imaging.
[Online-Edition]
In: ZooKeys, 759 pp. 1-27. ISSN 1313-2989
[Article], (2018)

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Item Type: Article
Title: An automated device for the digitization and 3D modelling of insects, combining extended-depth-of-field and all-side multi-view imaging
Language: English
Abstract:

Digitization of natural history collections is a major challenge in archiving biodiversity. In recent years, several approaches have emerged, allowing either automated digitization, extended depth of field (EDOF) or multi-view imaging of insects. Here, we present DISC3D: a new digitization device for pinned insects and other small objects that combines all these aspects. A PC and a microcontroller board control the device. It features a sample holder on a motorized two-axis gimbal, allowing the specimens to be imaged from virtually any view. Ambient, mostly reflection-free illumination is ascertained by two LED-stripes circularly installed in two hemispherical white-coated domes (front-light and back-light). The device is equipped with an industrial camera and a compact macro lens, mounted on a motorized macro rail. EDOF images are calculated from an image stack using a novel calibrated scaling algorithm that meets the requirements of the pinhole camera model (a unique central perspective). The images can be used to generate a calibrated and real color texturized 3Dmodel by ‘structure from motion’ with a visibility consistent mesh generation. Such models are ideal for obtaining morphometric measurement data in 1D, 2D and 3D, thereby opening new opportunities for trait-based research in taxonomy, phylogeny, eco-physiology, and functional ecology.

Journal or Publication Title: ZooKeys
Volume: 759
Publisher: Pensoft Publishers
Classification DDC: 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie
Divisions: 10 Department of Biology
Date Deposited: 25 May 2018 12:19
Last Modified: 25 May 2018 12:19
Official URL: https://doi.org/10.3897/zookeys.759.24584
URN: urn:nbn:de:tuda-tuprints-74406
URI: http://tuprints.ulb.tu-darmstadt.de/id/eprint/7440
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