Ongoing research directions
Fish photographs are taken in the field, and later scanned using µCT to visualize internal anatomical structures, particularly those related to feeding (e.g., branchial arches). ML models and pipelines (based around platforms like Biomedisa and ML-Morph) assist in segmentation and landmarking these data. Comparative analysis using both 2D digital photographs and 3D µCT scans to understand morphological variation. The integration of sex data and lake habitat info enables multifactorial analysis.
The research provides insights into evolutionary predictability and refines data pipelines for high-throughput morphometric analyses, making large-scale evolutionary studies feasible using geometric morphometric techniques.
The project promotes collaboration within the University of Bern and supports public science engagement (e.g., Pint of Science, Nacht der Forschung) and is also financially supported by the Burgergemeinde Bern.
