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Extracting multiple surfaces from 3D microscopy images in complex biological tissues with the Zellige software tool.

Céline TrébeauJacques Boutet de MonvelGizem AltayJean-Yves TinevezRaphaël Etournay
Published in: BMC biology (2022)
As a proof of principle of the versatility of Zellige, we demonstrate its performance and robustness on synthetic images and on four different types of biological samples, covering a wide range of biological contexts.
Keyphrases
  • optical coherence tomography
  • deep learning
  • convolutional neural network
  • gene expression
  • high resolution
  • single molecule
  • high throughput
  • machine learning
  • staphylococcus aureus