@article{(Open Science Index):https://publications.waset.org/pdf/4794,
	  title     = {Fractal Dimension of Breast Cancer Cell Migration in a Wound Healing Assay},
	  author    = {R. Sullivan and  T. Holden and  G. Tremberger and  Jr and  E. Cheung and  C. Branch and  J. Burrero and  G. Surpris and  S. Quintana and  A. Rameau and  N. Gadura and  H. Yao and  R. Subramaniam and  P. Schneider and  S. A. Rotenberg and  P. Marchese and  A. Flamhlolz and  D. Lieberman and  T. Cheung},
	  country	= {},
	  institution	= {},
	  abstract     = {Migration in breast cancer cell wound healing assay
had been studied using image fractal dimension analysis. The
migration of MDA-MB-231 cells (highly motile) in a wound healing
assay was captured using time-lapse phase contrast video microscopy
and compared to MDA-MB-468 cell migration (moderately motile).
The Higuchi fractal method was used to compute the fractal
dimension of the image intensity fluctuation along a single pixel
width region parallel to the wound. The near-wound region fractal
dimension was found to decrease three times faster in the MDA-MB-
231 cells initially as compared to the less cancerous MDA-MB-468
cells. The inner region fractal dimension was found to be fairly
constant for both cell types in time and suggests a wound influence
range of about 15 cell layer. The box-counting fractal dimension
method was also used to study region of interest (ROI). The MDAMB-
468 ROI area fractal dimension was found to decrease
continuously up to 7 hours. The MDA-MB-231 ROI area fractal
dimension was found to increase and is consistent with the behavior
of a HGF-treated MDA-MB-231 wound healing assay posted in the
public domain. A fractal dimension based capacity index has been
formulated to quantify the invasiveness of the MDA-MB-231 cells in
the perpendicular-to-wound direction. Our results suggest that image
intensity fluctuation fractal dimension analysis can be used as a tool
to quantify cell migration in terms of cancer severity and treatment
responses.},
	    journal   = {International Journal of Biomedical and Biological Engineering},
	  volume    = {2},
	  number    = {8},
	  year      = {2008},
	  pages     = {186 - 191},
	  ee        = {https://publications.waset.org/pdf/4794},
	  url   	= {https://publications.waset.org/vol/20},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 20, 2008},
	}