Title
Studying Developmental Variation with Geometric Morphometric Image Analysis (GMIA)
Author
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Abstract
The ways in which embryo development can vary across individuals of a population determine how genetic variation translates into adult phenotypic variation. The study of developmental variation has been hampered by the lack of quantitative methods for the joint analysis of embryo shape and the spatial distribution of cellular activity within the developing embryo geometry. By drawing from the strength of geometric morphometrics and pixel/voxel-based image analysis, we present a new approach for the biometric analysis of two-dimensional and three-dimensional embryonic images. Well-differentiated structures are described in terms of their shape, whereas structures with diffuse boundaries, such as emerging cell condensations or molecular gradients, are described as spatial patterns of intensities. We applied this approach to microscopic images of the tail fins of larval and juvenile rainbow trout. Inter-individual variation of shape and cell density was found highly spatially structured across the tail fin and temporally dynamic throughout the investigated period.
Object type
Language
English [eng]
Persistent identifier
phaidra.univie.ac.at/o:379455
Appeared in
Title
PLOS ONE
Volume
9
Issue
12
Publication
Public Library of Science (PLoS)
Version type
Date issued
2014
Access rights
Rights
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