2014
DOI: 10.5120/15565-4370
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Cell Lineage Construction of Neural Progenitor Cells

Abstract: This study aims at automatic construction of cell lineage from time-lapse images of progenitor cells. In order to construct the cell lineage it is very useful to have an efficient cell tracking system. In this paper we have described a system for tracking neural progenitor cells in a sequence of images using multiple matching object method based on modified mahalanobis algorithm. This system produces the results including the position, shape, motility and ancestry of each cell in every frame, which helps in co… Show more

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“…More global shape characterizations and segmentation methods have been used. These include watersheds [17], symmetry [18], template matching [19], and statistical decomposition [20,21]. The segmentation has been performed with explicit modeling of the halo effect, which surrounds cells imaged with phase contrast microscopy, with active contours [9,11].…”
Section: Literature Reviewmentioning
confidence: 99%
“…More global shape characterizations and segmentation methods have been used. These include watersheds [17], symmetry [18], template matching [19], and statistical decomposition [20,21]. The segmentation has been performed with explicit modeling of the halo effect, which surrounds cells imaged with phase contrast microscopy, with active contours [9,11].…”
Section: Literature Reviewmentioning
confidence: 99%