ADORE: the performance characteristics of five automated platforms in the analysis of urinary dysmorphic erythrocytes and pathological casts
Current automated urine particle analyzers are limited in accurately identifying dysmorphic erythrocytes and pathological casts, necessitating manual microscopy for reliable assessment. While automation offers potential for standardization and efficiency, significant technological advancements are required to improve diagnostic accuracy, reliability, and clinical applicability.
Authors
- Rüya Gökhan Koçer (ORCID: https://orcid.org/0000-0001-8058-1113)
- Xue D. Manz (ORCID: https://orcid.org/0000-0002-1923-3627)
- Ayşe Y. Demir (ORCID: https://orcid.org/0000-0002-0403-342X)
- Jolien J. Luimstra (ORCID: https://orcid.org/0000-0001-9742-929X)
- Hilde H.F. Remmelts (ORCID: https://orcid.org/0000-0002-4452-0556)
- Dorien M. Rotteveel
Institutions
- Leiden University (NL)
- University of Applied Sciences Leiden (NL)
- Gelre Hospitals (NL)
- Canisius-Wilhelmina Ziekenhuis (NL)
- Meander Medisch Centrum (NL)
Publication Details
- Journal
- Clinical Chemistry and Laboratory Medicine (CCLM)
- Published
- 2025-10-17
- DOI
- https://doi.org/10.1515/cclm-2025-0938
- Primary Topic
- Urinary Tract Infections Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00