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Segmentation of 3D images of plant tissues at multiple scales using the level set method.

Annamária KissTyphaine MoreauVincent MirabetCerasela Iliana CalugaruArezki BoudaoudPradeep Das
Published in: Plant methods (2017)
The watershed segmentation of the outer cell layer is demonstrably improved when coupled with the LSM-based surface detection step. The tool can also be used to improve watershed segmentation at cell-scale, as well as to segment nuclei within a tissue. The improved segmentation increases the quality of analysis, and the surface detected by our algorithm may be used to calculate local curvature or adapted for other uses, such as mathematical simulations.
Keyphrases
  • deep learning
  • convolutional neural network
  • single cell
  • cell therapy
  • machine learning
  • molecular dynamics
  • stem cells
  • mesenchymal stem cells
  • optical coherence tomography
  • quality improvement
  • label free