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  Image analysis pipeline for segmentation of a biological porosity network, the lacuno-canalicular system in stingray tesserae

Schotte, M., Chaumel, J., Dean, M. N., & Baum, D. (2020). Image analysis pipeline for segmentation of a biological porosity network, the lacuno-canalicular system in stingray tesserae. MethodsX, 7: 100905. doi:10.1016/j.mex.2020.100905.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0006-52E9-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0006-8153-A
Genre: Journal Article

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 Creators:
Schotte, Merlind, Author
Chaumel, Júlia1, Author              
Dean, Mason N.1, Author              
Baum, Daniel, Author
Affiliations:
1Mason Dean, Biomaterialien, Max Planck Institute of Colloids and Interfaces, Max Planck Society, ou_3034230              

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Free keywords: Image segmentation; Watershed algorithm; Cavity segmentation; Distance-based separation; Porosity network; Lacuno-canalicular system; Synchrotron microCT data
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Language(s): eng - English
 Dates: 2020-05-012020
 Publication Status: Published in print
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 Identifiers: DOI: 10.1016/j.mex.2020.100905
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Title: MethodsX
  Abbreviation : MethodsX
Source Genre: Journal
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Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 7 Sequence Number: 100905 Start / End Page: - Identifier: ISSN: 2215-0161