Abstract
The analysis of fluroescence tagged proteins in live cells from multi-channel microscopy image sequences requires a registration to a reference frame to decouple the movement and deformation of cells from the movement of proteins. We have developed an intensity-based approach for the registration of 2D and 3D multi-channel microscopy image sequences. This approach can be directly applied to the intensity images or to the segmented images. Also, we have performed a comparison using a direct registration scheme to the reference frame and an incremental scheme taking into account results from preceding time steps. We have evaluated our approach based on 3D synthetic images of a simulated spherical cell with known deformation which has been calculated based on an analytic solution of the Navier equation given certain boundary conditions. We have also successfully applied our approach to 2D and 3D real microscopy image sequences.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Rieger B, Molenaar C, Dirks RW, Vliet IJVan. Alignment of the cell nucleus from labeled proteins only for 4D in vivo imaging. Microsc Res Tech 2004;64(2):142–150.
Mattes J, Nawroth J, Boukamp P, et al. Analyzing motion and deformation of the cell nucleus for studying co-localizations of nuclear structures; 2006.
Yang S, Köhler D, Teller K, et al. Non-rigid registration of 3D multi-channel microscopy images of cell nuclei. LNCS 2006;4190:907–914.
Thirion JP. Image matching as a diffusion process: An analogy with Maxwell’s demons. Med Image Anal 1998;2(3):243–260.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, I. et al. (2007). Non-rigid Temporal Alignment of 2D and 3D Multi-channel Microscopy Image Sequences of Human Cells. In: Horsch, A., Deserno, T.M., Handels, H., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2007. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71091-2_4
Download citation
DOI: https://doi.org/10.1007/978-3-540-71091-2_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71090-5
Online ISBN: 978-3-540-71091-2
eBook Packages: Computer Science and Engineering (German Language)