Procrustean pseudo-landmark methods in Python to measure massive quantities of leaf shape data
Asia T. Hightower, Svea Hall, Ricardo Andres Urquidi Camacho, Alexandra Papamichail, Evan Adamski, Claudia Colligan, Aidan Deneen, Georgia Dunn, Justine Haziza, Claire Henley, Arnan Pawawongsak, Lachlann Simms, Sean Ward, Manica Balant, Christopher B. Blackwood, , Daniel H. Chitwood
The paper introduces a Python-based method using pseudo-landmarks and Procrustes analysis to compare leaf shapes across species and development, showing shape transitions and genetic correlations.
Applications in Plant Sciences · Mar 1, 2026Peer-reviewedPlant Biology