Paper: | SA-PM-OS1.7 |
Session: | Cellular and Molecular Image Analysis |
Time: | Saturday, April 8, 17:20 - 17:40 |
Presentation: |
Oral
|
Title: |
Quantitative Cell Motility for In Vitro Wound Healing Using Level Set-Based Active Contour Tracking |
Authors: |
Filiz Bunyak; University of Missouri-Columbia | | |
| Kannappan Palaniappan; University of Missouri-Columbia | | |
| Sumit K. Nath; University of Missouri-Columbia | | |
| Tobias I. Baskin; University of Massachusetts | | |
| Gang Dong; University of Massachusetts | | |
Abstract: |
Quantifying the behavior of cells individually, and in clusters as part of a population, under a range of experimental conditions, is a challenging computational task with many biological applications. We propose a versatile algorithm for segmentation and tracking of multiple motile epithelial cells during wound healing using time-lapse video. The segmentation part of the proposed method relies on a level set-based active contour algorithm that robustly handles a large number of cells. The tracking part relies on a detection-based multiple-object tracking method with delayed decision enabled by multi-hypothesis testing. The combined method is robust to complex cell behavior including division and apoptosis, and to imaging artifacts such as illumination changes. |