Ströbel, Bernhard ; Schmelzle, Sebastian ; Blüthgen, Nico ; Heethoff, Michael (2018)
An automated device for the digitization and 3D modelling of insects, combining extended-depth-of-field and all-side multi-view imaging.
In: ZooKeys, 2018, 759
doi: 10.3897/zookeys.759.24584
Artikel, Zweitveröffentlichung
Kurzbeschreibung (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.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2018 |
| Autor(en): | Ströbel, Bernhard ; Schmelzle, Sebastian ; Blüthgen, Nico ; Heethoff, Michael |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | An automated device for the digitization and 3D modelling of insects, combining extended-depth-of-field and all-side multi-view imaging |
| Sprache: | Englisch |
| Publikationsjahr: | 2018 |
| Publikationsdatum der Erstveröffentlichung: | 2018 |
| Verlag: | Pensoft Publishers |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | ZooKeys |
| Jahrgang/Volume einer Zeitschrift: | 759 |
| DOI: | 10.3897/zookeys.759.24584 |
| URL / URN: | https://doi.org/10.3897/zookeys.759.24584 |
| Herkunft: | Zweitveröffentlichung aus gefördertem Golden Open Access |
| Kurzbeschreibung (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. |
| URN: | urn:nbn:de:tuda-tuprints-74406 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie |
| Fachbereich(e)/-gebiet(e): | 10 Fachbereich Biologie |
| Hinterlegungsdatum: | 27 Mai 2018 19:55 |
| Letzte Änderung: | 27 Mai 2018 19:55 |
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