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Deformable Graph Model for Tracking Epithelial Cell Sheets in Fluorescence Microscopy.

Publication ,  Journal Article
Zou, RS; Tomasi, C
Published in: IEEE transactions on medical imaging
July 2016

We propose a novel method for tracking cells that are connected through a visible network of membrane junctions. Tissues of this form are common in epithelial cell sheets and resemble planar graphs where each face corresponds to a cell. We leverage this structure and develop a method to track the entire tissue as a deformable graph. This coupled model in which vertices inform the optimal placement of edges and vice versa captures global relationships between tissue components and leads to accurate and robust cell tracking. We compare the performance of our method with that of four reference tracking algorithms on four data sets that present unique tracking challenges. Our method exhibits consistently superior performance in tracking all cells accurately over all image frames, and is robust over a wide range of image intensity and cell shape profiles. This may be an important tool for characterizing tissues of this type especially in the field of developmental biology where automated cell analysis can help elucidate the mechanisms behind controlled cell-shape changes.

Duke Scholars

Published In

IEEE transactions on medical imaging

DOI

EISSN

1558-254X

ISSN

0278-0062

Publication Date

July 2016

Volume

35

Issue

7

Start / End Page

1625 / 1635

Related Subject Headings

  • Nuclear Medicine & Medical Imaging
  • Microscopy, Fluorescence
  • Epithelial Cells
  • Cell Tracking
  • Algorithms
  • 46 Information and computing sciences
  • 40 Engineering
  • 09 Engineering
  • 08 Information and Computing Sciences
 

Citation

APA
Chicago
ICMJE
MLA
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Zou, R. S., & Tomasi, C. (2016). Deformable Graph Model for Tracking Epithelial Cell Sheets in Fluorescence Microscopy. IEEE Transactions on Medical Imaging, 35(7), 1625–1635. https://doi.org/10.1109/tmi.2016.2521653
Zou, Roger S., and Carlo Tomasi. “Deformable Graph Model for Tracking Epithelial Cell Sheets in Fluorescence Microscopy.IEEE Transactions on Medical Imaging 35, no. 7 (July 2016): 1625–35. https://doi.org/10.1109/tmi.2016.2521653.
Zou RS, Tomasi C. Deformable Graph Model for Tracking Epithelial Cell Sheets in Fluorescence Microscopy. IEEE transactions on medical imaging. 2016 Jul;35(7):1625–35.
Zou, Roger S., and Carlo Tomasi. “Deformable Graph Model for Tracking Epithelial Cell Sheets in Fluorescence Microscopy.IEEE Transactions on Medical Imaging, vol. 35, no. 7, July 2016, pp. 1625–35. Epmc, doi:10.1109/tmi.2016.2521653.
Zou RS, Tomasi C. Deformable Graph Model for Tracking Epithelial Cell Sheets in Fluorescence Microscopy. IEEE transactions on medical imaging. 2016 Jul;35(7):1625–1635.

Published In

IEEE transactions on medical imaging

DOI

EISSN

1558-254X

ISSN

0278-0062

Publication Date

July 2016

Volume

35

Issue

7

Start / End Page

1625 / 1635

Related Subject Headings

  • Nuclear Medicine & Medical Imaging
  • Microscopy, Fluorescence
  • Epithelial Cells
  • Cell Tracking
  • Algorithms
  • 46 Information and computing sciences
  • 40 Engineering
  • 09 Engineering
  • 08 Information and Computing Sciences