Speakers
Description
Amber fossils offer an unparalleled glimpse into ancient ecosystems, preserving extinct organisms in three dimensions with exceptional detail -from external morphology to internal structures. The AMBCAT project aims to publicise the studies of these rare specimens by centralizing high-resolution digital scans in a globally accessible platform. By democratizing access to these invaluable datasets, AMBCAT fosters interdisciplinary collaboration, and ensures the long-term preservation of paleontological heritage.
To achieve this, the project integrates three key components:
- Data Curation & Registration – Systematic cataloging of specimens and datasets in SciCat, ensuring metadata accuracy and traceability.
- Automated Reconstruction Pipeline – A hybrid workflow combining classical computational methods and machine learning-based techniques for denoising, segmentation, and 3D model generation, enabling high-fidelity reconstructions.
- User-Centric Frontend – An intuitive interface that embeds contextual resources to enhance interpretability and facilitate research.
By bridging cutting-edge technology with paleontological research, AMBCAT aims to advance the study of amber fossils and digital infrastructures for natural history collections.
