Automatic Determination of Endothelial Cell Density From Donor Cornea Endothelial Cell Images
The approach of this study, a robust methodology for automatically evaluating donor cornea EC images, could expand the quantitative determination of endothelial health beyond ECD.
Authors
- Robert C. O’Brien (ORCID: https://orcid.org/0000-0002-3611-1648)
- Beth Ann Benetz (ORCID: https://orcid.org/0000-0003-4790-7972)
- Michael S. Titus (ORCID: https://orcid.org/0000-0002-3423-4505)
- Nathan Yoganathan
- Jameson Clover (ORCID: https://orcid.org/0000-0001-9682-4941)
- Naomi Joseph
- David L. Wilson (ORCID: https://orcid.org/0000-0001-9763-1463)
- Jonathan H. Lass (ORCID: https://orcid.org/0000-0002-3289-3443)
- Ved Shivade
- Nathan J. Romig
- Jiawei Chen (ORCID: https://orcid.org/0000-0002-4465-9283)
- Onkar B. Sawant
- Harry Menegay
- John C. McCormick
Institutions
- University of Miami (US)
- Case Western Reserve University (US)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1167/tvst.13.8.40
- Citations
- 5
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.02
Funders
- Eye Bank Association of America
- Case Western Reserve University
- National Institutes of Health