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

Schotte, Merlind; Chaumel, Júlia; Dean, Mason N; Baum, Daniel

Schotte, Merlind; Chaumel, Júlia; Dean, Mason N; Baum, Daniel.

Afiliação

Schotte M; Visual Data Analysis Department, Zuse Institute Berlin, Takustrasse 7, 14195 Berlin, Germany.
Chaumel J; Department of Biomaterials, Max Planck Institute of Colloids and Interfaces, Am Mühlenberg 1, 14476 Potsdam, Germany.
Dean MN; Department of Biomaterials, Max Planck Institute of Colloids and Interfaces, Am Mühlenberg 1, 14476 Potsdam, Germany.
Baum D; Visual Data Analysis Department, Zuse Institute Berlin, Takustrasse 7, 14195 Berlin, Germany.

MethodsX ; 7: 100905, 2020.

Article em En | MEDLINE | ID: mdl-32461920

Palavras-chave

Cavity segmentation; Distance-based separation; Image segmentation; Lacuno-canalicular system; Porosity network; Synchrotron microCT data; Watershed algorithm

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article