C. P. van den Berg

This paper introduces automated workflows for Quantitative Colour Pattern Analysis (QCPA) to streamline image processing and downstream data analysis, enabling efficient large-scale studies of colour patterns in organisms.

The paper quantifies colour pattern diversity in aposematic nudibranchs and links it to the strength of their chemical defences, finding reduced variability in defended species.

The study examines distance-dependent effects of aposematic coloration in nudibranchs, finding that detectability and boldness vary with viewing distance, supporting distance-dependent signaling.

The paper tests the escape and radiate hypothesis by analyzing if chemically defended nudibranch species occupy visually distinct backgrounds, finding support for spatiochromatic differences but not increased background diversity.

This study examines how edge contrast statistics predict detection speed and success in triggerfish, finding that no single statistic explains much variation, but combined approaches show some correlation.

The paper introduces QCPA, a framework for analyzing colour patterns in nature by integrating calibrated photography and visual modeling with psycho-physiological approaches.