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

ABSTRACT:

Background

Efficient tools allowing the extraction of 2D surfaces from 3D-microscopy data are essential for studies aiming to decipher the complex cellular choreography through which epithelium morphogenesis takes place during development. Most existing methods allow for the extraction of a single and smooth manifold of sufficiently high signal intensity and contrast, and usually fail when the surface of interest has a rough topography or when its localization is hampered by other surrounding structures of higher contrast. Multiple surface segmentation entails laborious manual annotations of the various surfaces separately.

Results

As automating this task is critical in studies involving tissue-tissue or tissue-matrix interaction, we developed the Zellige software, which all

SUBMITTER: Trebeau C 

PROVIDER: S-EPMC9397159 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature