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MultiDigitaliS #

Developing a new milestone in automated 2D+/3D imaging methodologies for natural history collections

Prof. Adrien Gressin1, Prof. Nadir Alvarez2, Dr. Lionel Cavin3, Dr. Jean-Luc Gattolliat4, Prof. Marc Kunze1, Prof. Benoît Le Callennec5, Dr. Jessica Litman6, Dr. Bastien Mennecart7, Prof. Xavier Muth1, and Prof. François Tièche5

1HEIG-VD, Yverdon

2University of Geneva

3Natural history Museum, Geneva

4Museum of Zoology, Lausanne

5Haute-École Arc, St Imier

6Natural history Museum, Neuchâtel

7Natural history Museum, Basel

Abstract #

This project aims to bring well adapted and user-friendly tools and methodologies for 2D+/3D digitization and visualization of natural history collections to the entire Swiss-CollNet community. The device, whose code name is MultidigitaliS (for Multi-specimens, Multi-stereo, Multi-spectral), will be elaborated in close partnership between natural history museums and engineering schools. By mixing the expertise of both, we will address the topic of 3D digitization using a realistic and well thought-out approach, with the objective of obtaining reliable, accurate, rapid results, across a large array of specimen typologies. A primary solution which consists in a combination of an imaging sensor mounted on a robotic arm was funded by Hasler Foundation. On this basis, new enhanced and innovative developments are planned in order to efficiently acquire, process and visualize 2D+ and 3D images. In addition to automated processes and live quality control, it includes specific and unique features enabling: (1) the sequential 3D scanning of dozens of specimens, (2) the 3D scanning of fluid collections kept in their contents, (3) accurate multi-stereo image-based measurements directly usable for morphometrics, and (4) adapted multi-spectral recording abilities. The final goal of the project consists in sharing widely the results and the benefits of these developments. A workshop opened to all potential SwissCollNet partners is planned.

LAST MODIFIED
December 26, 2024
Benoit Le Callennec
b7d53f6

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