Exploration of shape variation using localized components analysis
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Updated: Jun 22, 2026

Morphometric Analyses of Shape: The Analysis Software Toolbox for Craniofacial Shape Quantification in Zebrafish
Published on: February 27, 2026
Dan A Alcantara1, Owen Carmichael, Will Harcourt-Smith
1University of California, Davis, CA 95616, USA. dfalcantara@ucdavis.edu
Abstract:
Localized Components Analysis (LoCA) is a new method for describing surface shape variation in an ensemble of objects using a linear subspace of spatially localized shape components. In contrast to earlier methods, LoCA optimizes explicitly for localized components and allows a flexible trade-off between localized and concise representations, and the formulation of locality is flexible enough to incorporate properties such as symmetry. This paper demonstrates that LoCA can provide intuitive presentations of shape differences associated with sex, disease state, and species in a broad range of biomedical specimens, including human brain regions and monkey crania.
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