Segmentation-free Radon transform algorithm to detect orientation and size of tissue structures in multiphoton microscopy images
The proposed method provides a robust and adaptable solution for structural orientation analysis in biological images. Its ability to quantify tissue component orientation without preprocessing artifacts makes it valuable for high-resolution, dynamic studies in tissue architecture and biomechanics.
Authors
- Robert Günther (ORCID: https://orcid.org/0000-0002-3533-9747)
- Georg N. Duda (ORCID: https://orcid.org/0000-0001-7605-3908)
- Anja E. Hauser (ORCID: https://orcid.org/0000-0002-7725-9526)
- Raluca Niesner (ORCID: https://orcid.org/0000-0001-8969-5432)
- Anne Bias (ORCID: https://orcid.org/0009-0002-4242-0946)
- Ingeborg Beckers
- Danja Brandt
- Anastasiia A. Nikishina
Institutions
- Leibniz Association (DE)
- MSB Medical School Berlin (DE)
- German Rheumatism Research Centre (DE)
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Journal of Biomedical Optics
- Published
- 2025-08-04
- DOI
- https://doi.org/10.1117/1.jbo.30.8.086001
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft