Paper Info
Title
An Overview of Image Analysis in Multidimensional Biological Microscopy
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
Year
DOI
Venue
2006
10.1109/ICASSP.2006.1661490
2006 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-13
Keywords
Field
DocType
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
Computer vision,Cellular biophysics,Living systems,Computer science,Segmentation,Image segmentation,Artificial intelligence,Microscopy,Multidimensional systems
Conference
Volume
ISSN
ISBN
5
1520-6149
1-4244-0469-X
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Jean-Christophe Olivo-Marin174777.94
Olivo-Marin, J.-C.2638.68