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ImageJ SurfCut: a user-friendly pipeline for high-throughput extraction of cell contours from 3D image stacks.

Özer ErguvanMarion LouveauxOlivier HamantStéphane Verger
Published in: BMC biology (2019)
We provide a new ImageJ pipeline, SurfCut, that allows the extraction of cell contours from 3D confocal stacks. SurfCut and MGX have complementary advantages: MGX is well suited for curvy samples and more complex analyses, up to computational cell-based modeling on real templates; SurfCut is well suited for rather flat samples, is simple to use, and has the advantage to be easily automated for batch analysis of images in ImageJ. The combination of these two methods thus provides an ideal suite of tools for cell contour extraction in most biological samples, whether 3D precision or high-throughput analysis is the main priority.
Keyphrases
  • high throughput
  • single cell
  • cell therapy
  • deep learning
  • stem cells
  • optical coherence tomography
  • bone marrow