DocumentCode
926090
Title
Tracking in molecular bioimaging
Author
Meijering, Erik ; Smal, Ihor ; Danuser, Gaudenz
Volume
23
Issue
3
fYear
2006
fDate
5/1/2006 12:00:00 AM
Firstpage
46
Lastpage
53
Abstract
This paper aims to simulate the application of more advanced computer vision techniques to tracking in biological molecular imaging by surveying the literature and sketching the current state of affairs in the field for a signal and image processing audience. After describing the basic principles of visualizing molecular dynamics in living cells and giving some examples of biological molecular dynamics studies, the paper summarizes the problems and limitations intrinsic to imaging at this scale. The paper then discusses the main ingredients of the commonly used tracking paradigm and subsequently reconsider its competence by comparing it to certain aspects of visual motion perception in human beings, keeping in mind the complexity and variability of biological image data. Finally, it summarizes the main points of attention for future research and the challenges that lie ahead.
Keywords
biological techniques; biology computing; computer vision; molecular biophysics; tracking; biological molecular dynamics; biological molecular imaging; computer vision techniques; tracking paradigm; visual motion perception; Application software; Biological system modeling; Cells (biology); Computational modeling; Computer simulation; Computer vision; Image processing; Molecular imaging; Signal processing; Visualization;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
ISSN
1053-5888
Type
jour
DOI
10.1109/MSP.2006.1628877
Filename
1628877
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