A semi-local neighborhood-based framework for probabilistic cell lineage tracing.

ABSTRACT:

Background

Advances in fluorescence labeling and imaging have made it possible to acquire in vivo records of complex biological processes. Analysis has lagged behind acquisition in part because of the difficulty and computational expense of accurate cell tracking. In vivo analysis requires, at minimum, tracking hundreds of cells over hundreds of time points in complex three dimensional environments. We address this challenge with a computational framework capable of efficiently and accurately tracing entire cell lineages.

Results

The bulk of the tracking problem-tracking cells during interphase-is straightforward and can be executed with simple and fast methods. Difficult cases originate from detection errors and relatively rare large motions. Therefore, our method focuses c

SUBMITTER: Santella A 

PROVIDER: S-EPMC4085468 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature