Advanced search
1 file | 3.05 MB Add to list

A novel tracing method for the segmentation of cell wall networks

Jonas De Vylder (UGent) , Filip Rooms (UGent) , Stijn Dhondt (UGent) , Dirk Inzé (UGent) and Wilfried Philips (UGent)
Author
Organization
Project
Biotechnology for a sustainable economy (Bio-Economy)
Project
iMinds - MMIQQA
Abstract
Cell wall networks are a common subject of research in biology, which are important for plant growth analysis, organ studies, etc. In order to automate the detection of individual cells in such cell wall networks, we propose a new segmentation algorithm. The proposed method is a network tracing algorithm, exploiting the prior knowledge of the network structure. The method is applicable on multiple microscopy modalities such as fluorescence, but also for images captured using non invasive microscopes such as differential interference contrast (DIC) microscopes.
Keywords
computer vision, phenotyping, image analysis, segmentation, IMAGES, SOFTWARE, TOOL

Downloads

  • EMBC13.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 3.05 MB

Citation

Please use this url to cite or link to this publication:

MLA
De Vylder, Jonas, Filip Rooms, Stijn Dhondt, et al. “A Novel Tracing Method for the Segmentation of Cell Wall Networks.” IEEE Engineering in Medicine and Biology Society Conference Proceedings. New York, NY, USA: IEEE, 2013. 5433–5436. Print.
APA
De Vylder, Jonas, Rooms, F., Dhondt, S., Inzé, D., & Philips, W. (2013). A novel tracing method for the segmentation of cell wall networks. IEEE Engineering in Medicine and Biology Society Conference Proceedings (pp. 5433–5436). Presented at the 2013 35nd Annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013), New York, NY, USA: IEEE.
Chicago author-date
De Vylder, Jonas, Filip Rooms, Stijn Dhondt, Dirk Inzé, and Wilfried Philips. 2013. “A Novel Tracing Method for the Segmentation of Cell Wall Networks.” In IEEE Engineering in Medicine and Biology Society Conference Proceedings, 5433–5436. New York, NY, USA: IEEE.
Chicago author-date (all authors)
De Vylder, Jonas, Filip Rooms, Stijn Dhondt, Dirk Inzé, and Wilfried Philips. 2013. “A Novel Tracing Method for the Segmentation of Cell Wall Networks.” In IEEE Engineering in Medicine and Biology Society Conference Proceedings, 5433–5436. New York, NY, USA: IEEE.
Vancouver
1.
De Vylder J, Rooms F, Dhondt S, Inzé D, Philips W. A novel tracing method for the segmentation of cell wall networks. IEEE Engineering in Medicine and Biology Society Conference Proceedings. New York, NY, USA: IEEE; 2013. p. 5433–6.
IEEE
[1]
J. De Vylder, F. Rooms, S. Dhondt, D. Inzé, and W. Philips, “A novel tracing method for the segmentation of cell wall networks,” in IEEE Engineering in Medicine and Biology Society Conference Proceedings, Osaka, Japan, 2013, pp. 5433–5436.
@inproceedings{3185588,
  abstract     = {Cell wall networks are a common subject of research in biology, which are important for plant growth analysis, organ studies, etc. In order to automate the detection of individual cells in such cell wall networks, we propose a new segmentation algorithm. The proposed method is a network tracing algorithm, exploiting the prior knowledge of the network structure. The method is applicable on multiple microscopy modalities such as fluorescence, but also for images captured using non invasive microscopes such as differential interference contrast (DIC) microscopes.},
  author       = {De Vylder, Jonas and Rooms, Filip and Dhondt, Stijn and Inzé, Dirk and Philips, Wilfried},
  booktitle    = {IEEE Engineering in Medicine and Biology Society Conference Proceedings},
  isbn         = {9781457702167},
  issn         = {1557-170X},
  keywords     = {computer vision,phenotyping,image analysis,segmentation,IMAGES,SOFTWARE,TOOL},
  language     = {eng},
  location     = {Osaka, Japan},
  pages        = {5433--5436},
  publisher    = {IEEE},
  title        = {A novel tracing method for the segmentation of cell wall networks},
  url          = {http://dx.doi.org/10.1109/EMBC.2013.6610778},
  year         = {2013},
}

Altmetric
View in Altmetric
Web of Science
Times cited: