Advances and Progress in Automated Urine Analyzers.
| Autor: | Larkey NE; Department of Pathology, Division of Clinical Chemistry, University of Virginia Health, 1215 Lee Street, Charlottesville, VA 22903, USA., Obiorah IE; Department of Pathology, Division of Hematopathology, University of Virginia Health, 1215 Lee street, Charlottesville, VA 22903, USA. Electronic address: jnp5qm@uvahealth.org. |
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| Jazyk: | angličtina |
| Zdroj: | Clinics in laboratory medicine [Clin Lab Med] 2024 Sep; Vol. 44 (3), pp. 409-421. Date of Electronic Publication: 2024 May 27. |
| DOI: | 10.1016/j.cll.2024.04.003 |
| Abstrakt: | The clinical analysis of urine has classically focused on conventional chemical-based urinalysis and urine microscopy. Contemporary advances in both analysis subsets have started to employ new technologies such as automated image analysis, flow cytometry, and mass spectrometry. In addition to new detection technologies, current analyzers have incorporated more advanced imaging, automated sample handing, and machine learning analyses into their workflow. The most advanced semiautomated analyzers can be interfaced with hospital medical record systems, and in the point-of-care setting, smartphones can be used for image analysis. This review will discuss current technological advancements in the field of urinalysis and urine microscopy. Competing Interests: Disclosure The authors have nothing to disclose. (Copyright © 2024 Elsevier Inc. All rights reserved.) |
| Databáze: | MEDLINE |
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