Segmentation of zebrafish embryonic images using a geometric atlas deformation.
Transgenic zebrafish expressing fluorescent proteins in specific tissues or organs are promising models for studies of normal developmental processes, or perturbations of these. However, for widespread use, reliable quantification of the observed effects is necessary. Therefore, accurate and automatic analysis of images obtained by fluorescent microscopy and depicting zebrafish embryos becomes crucial. In this paper, a segmentation approach for such images is proposed. The segmentation is achieved by fitting a species-specific 2D atlas to the zebrafish data depicted in the images. Experiments performed in a set of 50 images have provided promising results.
Computational Biomedicine Lab, Department of Computer Science, University of Houston, Houston TX 77204-3010, USA. eezacharia@gmail.com
Eleni
E
Zacharia
Maria
M
Bondesson
Jan-Åke
JÅ
Gustafsson
Ioannis A
IA
Kakadiaris
D000716:Anatomy, Artistic; D000818:Animals; D030801:Animals, Genetically Modified; D001271:Atlases as Topic; D004625:Embryo, Nonmammalian / Q000033:anatomy & histology*; D007091:Image Processing, Computer-Assisted; D015027:Zebrafish / Q000196:embryology*