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Optical Flow Guided Cell Segmentation and Tracking in Developing Tissue

Kun Liu, S. Lienkamp, A. Shindo, J. Wallingford, G. Walz, Olaf Ronneberger
IEEE International Symposium on Biomedical Imaging (ISBI): 298--301, 2014

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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.

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BibTex references

@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"
}

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