Analysing the Structure of Collagen Fibres in SBFSEM Images
Abstract
Collagen fibres form important structures in tissue, and are essential for force transmission, scaffolding and cell addition. Each fibre is long and thin, and large numbers group together into complex networks of bundles, which are little studied as yet. Serial block-face scanning electron microscopy (SBFSEM) can be used to image tissues containing the fibres, but analysing the images manually is almost impossible - there can be over 30,000 fibres in each image slice, and many hundreds of individual image slices in a volume. We describe a system for automatically identifying and tracking the individual fibres, allowing analysis of their paths, how they form bundles and how individual fibres weave from one bundle to another.
Cite
Text
Almutairi et al. "Analysing the Structure of Collagen Fibres in SBFSEM Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2016. doi:10.1109/CVPRW.2016.169Markdown
[Almutairi et al. "Analysing the Structure of Collagen Fibres in SBFSEM Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2016.](https://mlanthology.org/cvprw/2016/almutairi2016cvprw-analysing/) doi:10.1109/CVPRW.2016.169BibTeX
@inproceedings{almutairi2016cvprw-analysing,
title = {{Analysing the Structure of Collagen Fibres in SBFSEM Images}},
author = {Almutairi, Yassar and Cootes, Timothy F. and Kadler, Karl},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2016},
pages = {1342-1349},
doi = {10.1109/CVPRW.2016.169},
url = {https://mlanthology.org/cvprw/2016/almutairi2016cvprw-analysing/}
}