Paper Info
Title
A simulation and estimation framework for intracellular dynamics and trafficking in video-microscopy and fluorescence imagery.
Abstract
Image sequence analysis in video-microscopy has now gained importance since molecular biology is presently having a profound impact on the way research is being conducted in medicine. However, image processing techniques that are currently used for modeling intracellular dynamics, are still relatively crude and yield imprecise results. Indeed, complex interactions between a large number of small moving particles in a complex scene cannot be easily modeled, limiting the performance of object detection and tracking algorithms. This motivates our present research effort which is to develop a general estimation/simulation framework able to produce image sequences showing small moving spots in interaction, with variable velocities, and corresponding to intracellular dynamics and trafficking in biology. It is now well established that spot/object trajectories can play a role in the analysis of living cell dynamics and simulating realistic image sequences is then of major importance. We demonstrate the potential of the proposed simulation/estimation framework in experiments, and show that this approach can also be used to evaluate the performance of object detection/tracking algorithms in video-microscopy and fluorescence imagery.
Year
DOI
Venue
2009
10.1016/j.media.2008.06.017
Medical Image Analysis
Keywords
Field
DocType
Video-microscopy,Fluorescence,Cellular biology,Image sequence modeling,Simulation,Estimation,Object detection
Object detection,Computer vision,Pattern recognition,Computer science,Image processing,Living cell,Artificial intelligence,Microscopy,Image sequence,Limiting
Journal
Volume
Issue
ISSN
13
1
1361-8415
Citations 
PageRank 
References 
6
0.57
23
Authors
3
Name
Order
Citations
PageRank
Jérôme Boulanger138428.88
Charles Kervrann293467.36
Patrick Bouthemy32675286.70