Title :
Tracking in molecular bioimaging
Author :
Meijering, Erik ; Smal, Ihor ; Danuser, Gaudenz
fDate :
5/1/2006 12:00:00 AM
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;
Journal_Title :
Signal Processing Magazine, IEEE
DOI :
10.1109/MSP.2006.1628877