Streamlining asymmetry quantification in fetal mouse imaging: A semi‐automated pipeline supported by expert guidance
In this work, we demonstrate an open-source, semi-automated tool to quantify the asymmetry of craniofacial structures that integrates expert anatomical knowledge. This tool can detect abnormally asymmetric phenotypes in fetal mice to explore the relationship between facial asymmetry, perturbed development, and developmental instability.
Authors
- A. Murat Maga (ORCID: https://orcid.org/0000-0002-7921-9018)
- Dun Mao (ORCID: https://orcid.org/0000-0001-5523-657X)
- Sara Rolfe (ORCID: https://orcid.org/0000-0001-9514-7774)
Institutions
- Seattle Children's Hospital (US)
- University of Washington (US)
- Seattle Children's Hospital (US)
Publication Details
- Journal
- Developmental Dynamics
- Published
- 2025-05-27
- DOI
- https://doi.org/10.1002/dvdy.70028
- Citations
- 5
- Primary Topic
- dental development and anomalies
- Type
- article
- Field-Weighted Citation Impact
- 4.03
Funders
- National Institutes of Health