Name
Title | ||
|---|---|---|
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) statistical analysis of various timing distributions obtained from those examples. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.compbiomed.2014.04.011 | Computers in Biology and Medicine |
Keywords | DocType | Volume |
database,event detection,Event detection,Database,cell counting,embryo development,Tracking,tracking,Cell counting,Dynamic programming,Time series,dynamic programming,Embryo development,time series | Journal | 51 |
Issue | ISSN | Citations |
1 | 1879-0534 | 4 |
PageRank | References | Authors |
0.48 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marcelo Cicconet | 1 | 28 | 7.08 |
| Michelle Gutwein | 2 | 4 | 0.48 |
| Kristin C. Gunsalus | 3 | 80 | 15.64 |
| Davi Geiger | 4 | 1050 | 353.66 |