A Workflow for Rapid Unbiased Quantification of Fibrillar Feature Alignment in Biological Images
- DOI
- 10.3389/fcomp.2021.745831
- Published
- 2021-10-14
- Container
- Frontiers in Computer Science
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fcomp.2021.745831,
title = {A Workflow for Rapid Unbiased Quantification of Fibrillar Feature Alignment in Biological Images},
author = {Stefania Marcotti and Deandra Belo de Freitas and Lee D Troughton and Fiona N Kenny and Tanya J Shaw and Brian M Stramer and Patrick W Oakes},
year = {2021},
journal = {Frontiers in Computer Science},
doi = {10.3389/fcomp.2021.745831},
url = {https://doi.org/10.3389/fcomp.2021.745831}
}RIS
TY - JOUR TI - A Workflow for Rapid Unbiased Quantification of Fibrillar Feature Alignment in Biological Images AU - Stefania Marcotti AU - Deandra Belo de Freitas AU - Lee D Troughton AU - Fiona N Kenny AU - Tanya J Shaw AU - Brian M Stramer AU - Patrick W Oakes PY - 2021 JO - Frontiers in Computer Science DO - 10.3389/fcomp.2021.745831 UR - https://doi.org/10.3389/fcomp.2021.745831 ER -
APA
Marcotti, S., Freitas, D. B. D., Troughton, L. D., Kenny, F. N., Shaw, T. J., Stramer, B. M., & Oakes, P. W. (2021). A Workflow for Rapid Unbiased Quantification of Fibrillar Feature Alignment in Biological Images. Frontiers in Computer Science. https://doi.org/10.3389/fcomp.2021.745831
Source records
- crossref · retrieved 2026-11-10T19:52:40.849Z