Title :
On the digital trail of mobile cells
Author :
Zimmer, Christophe ; Zhang, Bo ; Dufour, Alexandre ; Thébaud, Ayméric ; Berlemont, Sylvain ; Meas-Yedid, Vannary ; Marin, Jean-Christophe Olivo
Author_Institution :
California Univ., Los Angeles, CA
fDate :
5/1/2006 12:00:00 AM
Abstract :
Cell migration is a field of intense current research, where biologists increasingly rely on methods and expertise from physics and engineering. Signal processing approaches can contribute significantly to this research, most notably to help analyze the exploding quantity of imaging data produced with standard and new microscopy techniques. In this article, we first provide a brief background on the importance of understanding cell movements, then review a selection of current efforts on tracking moving cells, with an emphasis on deformable model approaches (some ideas expressed in this article have been previously discussed. We will point out some of the main difficulties posed by cellular imaging, discuss advantages and limitations of different tracking techniques, and suggest a few directions for future advances
Keywords :
biology computing; cellular biophysics; image segmentation; tracking; biological process; cell migration; cell segmentation; cellular imaging; mobile cells; signal processing; tracking techniques; Biomedical imaging; Biomedical signal processing; Cells (biology); Embryo; Image analysis; Microscopy; Organisms; Physics; Proteins; Shape;
Journal_Title :
Signal Processing Magazine, IEEE
DOI :
10.1109/MSP.2006.1628878