Deep Learning-based Virtual Birefringence Imaging and Staining of Amyloid Deposits in Label-Free Tissue
We present virtual birefringence imaging and staining, enabling label-free detection of amyloid deposits in tissue. By transforming autofluorescence images into virtually-stained brightfield and polarization images, this method enhances the accuracy and speed of amyloidosis diagnosis.
Authors
- William D. Wallace (ORCID: https://orcid.org/0000-0002-9850-9723)
- Aydogan Özcan (ORCID: https://orcid.org/0000-0002-0717-683X)
- Karine Atlan
- Gregory A. Fishbein (ORCID: https://orcid.org/0000-0002-3632-5654)
- Şahan Yoruç Selçuk (ORCID: https://orcid.org/0000-0002-6721-3540)
- Bijie Bai (ORCID: https://orcid.org/0000-0002-4744-996X)
- Paloma Casteleiro Costa (ORCID: https://orcid.org/0000-0002-7824-9805)
- Nir Pillar (ORCID: https://orcid.org/0000-0003-4979-1440)
- Musa Aydın (ORCID: https://orcid.org/0000-0002-5825-2230)
- Xilin Yang (ORCID: https://orcid.org/0000-0002-6954-9662)
- Yijie Zhang (ORCID: https://orcid.org/0009-0000-2376-9267)
- Yuzhu Li (ORCID: https://orcid.org/0009-0007-1570-0324)
- Zhen Guo (ORCID: https://orcid.org/0000-0003-3967-4304)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/cleo_at.2025.aa109_2
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00