Title :
Nonrigid Registration of 2-D and 3-D Dynamic Cell Nuclei Images for Improved Classification of Subcellular Particle Motion
Author :
Kim, Il-Han ; Chen, Yi-Chun M. ; Spector, David L. ; Eils, Roland ; Rohr, Karl
Author_Institution :
Dept. of Bioinf. & Functional Genomics, Univ. of Heidelberg, Heidelberg, Germany
fDate :
4/1/2011 12:00:00 AM
Abstract :
The observed motion of subcellular particles in fluorescence microscopy image sequences of live cells is generally a superposition of the motion and deformation of the cell and the motion of the particles. Decoupling the two types of movements to enable accurate classification of the particle motion requires the application of registration algorithms. We have developed an intensity-based approach for nonrigid registration of multichannel microscopy image sequences of cell nuclei. First, based on 3-D synthetic images we demonstrate that cell nucleus deformations change the observed motion types of particles and that our approach allows to recover the original motion. Second, we have successfully applied our approach to register 2-D and 3-D real microscopy image sequences. A quantitative experimental comparison with previous approaches for nonrigid registration of cell microscopy has also been performed.
Keywords :
cellular biophysics; image classification; image motion analysis; image registration; image sequences; medical image processing; microscopy; 2D dynamic cell nuclei image; 2D real microscopy image sequence; 3D dynamic cell nuclei image; 3D real microscopy image sequence; 3D synthetic image; cell microscopy nonrigid registration algorithm; cell nucleus deformation; fluorescence microscopy image sequences; intensity-based approach; motion superposition; multichannel microscopy image sequence; subcellular particle motion classification; Heuristic algorithms; Image sequences; Iterative methods; Measurement; Microscopy; Optical imaging; Three dimensional displays; Biomedical image processing; image sequence analysis; microscopy; registration; Algorithms; Animals; Artificial Intelligence; Cell Nucleus; Cell Tracking; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Microscopy; Motion; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2010.2076377