Visualizing stable features in live cell nucleus for evaluation of the cell global motion compensation
Language English Country Czech Republic Media print
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
25369340
PII: FB2014A0031
Knihovny.cz E-resources
- MeSH
- Algorithms MeSH
- Cell Nucleus metabolism MeSH
- Databases as Topic MeSH
- HeLa Cells MeSH
- Humans MeSH
- Image Processing, Computer-Assisted MeSH
- Cell Movement * MeSH
- Cell Survival MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
The compensation of cell motion is an important step in single-particle tracking analysis of live cells. This step is required in most of the cases, since the movement of subcellular foci is superimposed by the movement and deformation of the cell, while only the local motion of the foci is important to be analysed. The cell motion and deformation compensation is usually performed by means of image registration. There are a number of approaches with different models and properties presented in the literature that perform cell image registration. However, the evaluation of the registration approach quality on real data is a tricky problem due to the fact that some stable features in the images with a priori no local motion are needed. In this paper we propose a methodology for creating live cell nuclei image sequences with stable features imposed. The features are defined using the regions of fluorescence bleaching invoked by the UV laser. Data with different deformations are acquired and can be used for evaluation of the cell image registration methods. Along with that, we describe an image analysis technique and a metric that can characterize the quality of the method quantitatively. The proposed methodology allows building a ground truth dataset for testing and thoroughly evaluating cell image registration methods.