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Quantitative analysis of cell shape in live samples is an important goal in developmental biology. Automated or semi-automated segmentation and tracking of cell nuclei has been successfully implemented in several biological systems. Segmentation and tracking of cell surfaces has been more challenging. Here, we present a new approach to tracking cell junctions in the developing epidermis of C. elegans...
A new pruning algorithm is introduced to remove peripheral branches of scarce relevance from the curve skeleton of 3D objects, while keeping the more relevant branches untouched. The algorithm does not require fine tuning of the parameters involved in the criteria suggested to evaluate branch significance and, in the average, produces satisfactory results.
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