Label free cell-tracking and division detection based on 2D time-lapse images for lineage analysis of early embryo development.

ABSTRACT: In this paper we report a database and a series of techniques related to the problem of tracking cells, and detecting their divisions, in time-lapse movies of mammalian embryos. Our contributions are (1) a method for counting embryos in a well, and cropping each individual embryo across frames, to create individual movies for cell tracking; (2) a semi-automated method for cell tracking that works up to the 8-cell stage, along with a software implementation available to the public (this software was used to build the reported database); (3) an algorithm for automatic tracking up to the 4-cell stage, based on histograms of mirror symmetry coefficients captured using wavelets; (4) a cell-tracking database containing 100 annotated examples of mammalian embryos up to the 8-cell stage; and (5) s

SUBMITTER: Cicconet M 

PROVIDER: S-EPMC4096606 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature