Automated quantification of anterior chamber cells using swept-source anterior segment optical coherence tomography
Our algorithm accurately counts HRF when compared to manual counts, with strong correlation to SUN clinical grades. SS AS-OCT offers the advantage of imaging of the entire AC and may allow detection of subclinical inflammation in eyes that appear clinically inactive.
Authors
- Judy L. Chen (ORCID: https://orcid.org/0000-0001-6368-0064)
- Edmund Yik Kong Tsui (ORCID: https://orcid.org/0000-0001-7532-9191)
- Shani Pillar (ORCID: https://orcid.org/0000-0001-8557-5150)
- Giulia Corradetti (ORCID: https://orcid.org/0000-0001-9213-5575)
- NICHOLAS J. JACKSON (ORCID: https://orcid.org/0000-0002-9515-5050)
- Joseph K. Privratsky
- Nina Cherian
- SriniVas R. Sadda
- Keren Chen
- Shin Kadomoto
- Gary N. Holland
- Sheyla González
- Nicolette Zargari
Institutions
- University of California, Los Angeles (US)
- Kyoto University (JP)
- UCLA Medical Center (US)
- Doheny Eye Institute (US)
Publication Details
- Journal
- Journal of Ophthalmic Inflammation and Infection
- Published
- 2025-01-09
- DOI
- https://doi.org/10.1186/s12348-025-00456-y
- Citations
- 5
- Primary Topic
- Ocular Diseases and Behçet’s Syndrome
- Type
- article
- Field-Weighted Citation Impact
- 8.54
Funders
- Research to Prevent Blindness
- Skirball Foundation
- National Institutes of Health
- Clinical and Translational Science Institute, University of California, Los Angeles