not logged in. (login)


Document Information

Tracking of Cell Populations to Understand their Spatio-Temporal Behavior in Response to Physical Stimuli (2009)
David House, Matthew L. Walker, Zheng Wu, Joyce Y. Wong and Margrit Betke
Download
pdf
Abstract: We have developed methods for segmentation and tracking of cells in time-lapse phase-contrast microscopy images. Our multi-object Bayesian algorithm detects and tracks large numbers of cells in presence of clutter and identifies cell division. To solve the data association problem, the assignment of current measurements to cell tracks, we tested various cost functions with both an optimal and a fast, suboptimal assignment algorithm. We also propose metrics to quantify cell migration properties, such as motility and directional persistence, and compared our findings of cell migration with the standard random walk model. We measured how cell populations respond to the physical stimuli presented in the environment, for example, the stiffness property of the substrate. Our analysis of hundreds of spatio-temporal cell trajectories revealed significant differences in the behavioral response of fibroblast cells to changes in hydrogel conditions.
Published in: Proc. IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2009.



Copyright Notice:
The downloadable publications on this web site are presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by copyright. These works may not be reposted without the explicit permission of the copyright holder.