Title :
An Overview of Image Analysis in Multidimensional Biological Microscopy
Author :
Olivo-Marin, J.-C.
Author_Institution :
Quantitative Image Anal. Unit, Institut Pasteur, Paris
Abstract :
Following an overview of image analysis applications in 2D and 3D dynamic biological microscopy, we present work developed in our laboratory dedicated to two central aspects of cell biology of infection, cell shape and motility analysis and particle tracking. We describe a fully automatic segmentation and tracking method designed to enable quantitative analyses of cellular shape and motion from 4D (3D+t) microscopy data. To get at a better understanding of pathogens/host cell interactions and to document infectious disease processes in living systems, it is necessary to characterise the dynamic properties of pathogens. We describe a method to detect and track multiple moving biological spot-like particles showing different kind of dynamics in image sequences acquired through multidimensional fluorescence microscopy
Keywords :
biological techniques; biology computing; cellular biophysics; image segmentation; image sequences; optical images; optical microscopy; automatic segmentation; biological spot-like particles; cell shape; image analysis; image sequences; infection cell biology; motility analysis; multidimensional biological microscopy; multidimensional fluorescence microscopy; particle tracking; tracking method; Biological cells; Image analysis; Image motion analysis; Image sequence analysis; Laboratories; Microscopy; Multidimensional systems; Particle tracking; Pathogens; Shape;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1661490