Paper Info
Title
NETWORK TOMOGRAPHY FOR TRAFFICKING SIMULATION AND ANALYSIS IN FLUORESCENCE MICROSCOPY IMAGING
Abstract
GFP-tagging and time-lapse fluorescence microscopy can be considered as investigation tools to observe molecular dy- namics and interactions in live cells at both the microscopic and nanoscopic scales. Consequently, it is imperative to de- velop novel image analysis techniques able to quantify dy- namics of biological processes observed in such image se- quences. This motivates our present research effort which is to develop novel methods to extract information from nD data. In trafficking analysis, object tracking using conven- tional techniques can be very hard or impossible, especially when more than one hundred small and poorly distinguishable objects interact. However, determining the full trajectories of all the objects are not needed to monitor the cell activity. In- deed, estimating origin and destination regions of the objects of interest may be more relevant. In this paper, we propose an original approach to recover the origin and destination pairs from traffic information. Thus, we propose to consider the membrane trafficking as a road trafficking, and for the first time we exploit the recent advances in Network Tomography (NT) commonly used in network communication for biologi- cal trafficking analysis. This idea is demonstrated on realistic artificial image sequences for the Rab6 protein, a GTPase in- volved in the regulation of intracellular membrane trafficking.
Year
DOI
Venue
2007
10.1109/ISBI.2007.356840
Arlington, VA
Keywords
Field
DocType
biomedical optical imaging,cellular biophysics,fluorescence,image sequences,molecular biophysics,optical microscopy,proteins,GFP-tagging,Rab6 protein,biological trafficking analysis,fluorescence microscopy,image sequences,molecular dynamics,network tomography,time-lapse fluorescence microscopy
Intracellular membrane,Computer vision,Fluorescence microscope,Cellular biophysics,Pattern recognition,Computer science,Network communication,Exploit,Network tomography,Video tracking,Molecular biophysics,Artificial intelligence
Conference
ISSN
ISBN
Citations 
1945-7928
1-4244-0672-2
2
PageRank 
References 
Authors
0.42
11
4
Name
Order
Citations
PageRank
Thierry Pécot1284.39
Jérôme Boulanger238428.88
Charles Kervrann393467.36
Patrick Bouthemy42675286.70