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Comput Biol Med. 2014 Aug;51:24-34. doi: 10.1016/j.compbiomed.2014.04.011. Epub 2014 May 9.

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

Author information

1
Center for Genomics and Systems Biology, New York University, United States. Electronic address: mc4527@nyu.edu.
2
Center for Genomics and Systems Biology, New York University, United States.
3
Courant Institute of Mathematical Sciences, New York University, United States.

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) statistical analysis of various timing distributions obtained from those examples.

KEYWORDS:

Cell counting; Database; Dynamic programming; Embryo development; Event detection; Time series; Tracking

PMID:
24873887
PMCID:
PMC4096606
DOI:
10.1016/j.compbiomed.2014.04.011
[Indexed for MEDLINE]
Free PMC Article
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