Three-dimensional computation of fibre orientation, diameter and branching in segmented image stacks of fibrous networks.
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ABSTRACT: Fibre topography of the extracellular matrix governs local mechanical properties and cellular behaviour including migration and gene expression. While quantifying properties of the fibrous network provides valuable data that could be used across a breadth of biomedical disciplines, most available techniques are limited to two dimensions and, therefore, do not fully capture the architecture of three-dimensional (3D) tissue. The currently available 3D techniques have limited accuracy and applicability and many are restricted to a specific imaging modality. To address this need, we developed a novel fibre analysis algorithm capable of determining fibre orientation, fibre diameter and fibre branching on a voxel-wise basis in image stacks with distinct fibre populations. The accuracy of the tec
SUBMITTER: Eekhoff JD
PROVIDER: S-EPMC7482563 | biostudies-literature | 2020 Aug
REPOSITORIES: biostudies-literature
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