Optical Flow Guided Cell Segmentation and Tracking in Developing Tissue
IEEE International Symposium on Biomedical Imaging (ISBI): 298--301, 2014
Abstract: Cell segmentation and tracking is necessary for analyzing cell motion in time-lapse data. In this paper, we present a method which combines optical flow tracking and temporal consistency modeling to segment and track cells in time-lapse data. The method is designed for tracking cells in a dense (developing) tissue, e.g., kidney tubule in Xenopus, where cell candidates can be obtained from frame-wise segmentation methods. By modeling the temporal consistency, we can select the most probable configuration as the result of segmentation and tracking.
Publisher's link
Images and movies
![figure1.png [277KB]](/Publications/2014/LR14/figure1.png "figure1.png [277KB]")
![cellSegTrack_ISBI2014.avi [10.3MB]](/Publications/2014/LR14/.thumbs/cellSegTrack_ISBI2014.avi.jpg "cellSegTrack_ISBI2014.avi [10.3MB]")
BibTex reference
@InProceedings{LR14,
author = "K. Liu and S. Lienkamp and A. Shindo and J. Wallingford and G. Walz and O. Ronneberger",
title = "Optical Flow Guided Cell Segmentation and Tracking in Developing Tissue",
booktitle = "IEEE International Symposium on Biomedical Imaging (ISBI)",
pages = "298--301",
year = "2014",
url = "http://lmb.informatik.uni-freiburg.de/Publications/2014/LR14"
}