Segmentation of Cells from 3-D Confocal Images of Live Zebrafish Embryo

In this paper, we use partial-differential-equationbased segmentation to accurately extract the shapes of membranes and nuclei from time lapse confocal microscopy images, taken throughout early Zebrash embryogenesis. This strategy is a prerequisite for an accurate quantitative analysis of cell shape and morphodynamics during organogenesis and is the basis for an integrated understanding of biological processes. This data will also serve for the measurement of the variability between individuals in a population. The segmentation of cellular structures is achieved by rst using an edge-preserving image ltering method for noise reduction and then applying an algorithm for cell shape reconstruction based on the Subjective Surfaces technique.