Abstract:
In this paper, we use partial-differential-equation-based segmentation to accurately extract the shapes of membranes and nuclei from time lapse confocal microscopy images...Show MoreMetadata
Abstract:
In this paper, we use partial-differential-equation-based segmentation to accurately extract the shapes of membranes and nuclei from time lapse confocal microscopy images, taken throughout early zebrafish 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 first using an edge-preserving image filtering method for noise reduction and then applying an algorithm for cell shape reconstruction based on the subjective surfaces technique.
Published in: 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Date of Conference: 22-26 August 2007
Date Added to IEEE Xplore: 22 October 2007
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PubMed ID: 18003388