Ct3d: tracking microglia motility in 3D using a novel cosegmentation approach.

ABSTRACT:

Motivation

Cell tracking is an important method to quantitatively analyze time-lapse microscopy data. While numerous methods and tools exist for tracking cells in 2D time-lapse images, only few and very application-specific tracking tools are available for 3D time-lapse images, which is of high relevance in immunoimaging, in particular for studying the motility of microglia in vivo.

Results

We introduce a novel algorithm for tracking cells in 3D time-lapse microscopy data, based on computing cosegmentations between component trees representing individual time frames using the so-called tree-assignments. For the first time, our method allows to track microglia in three dimensional confocal time-lapse microscopy images. We also evaluate our method on synthetically generated da

SUBMITTER: Xiao H 

PROVIDER: S-EPMC3035800 | biostudies-literature | 2011 Feb

REPOSITORIES: biostudies-literature