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Advances and Progress in Automated Urine Analyzers.
Larkey, Nicholas E; Obiorah, Ifeyinwa E.
Afiliación
  • 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.
Clin Lab Med ; 44(3): 409-421, 2024 Sep.
Article en En | MEDLINE | ID: mdl-39089747
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Urinálisis Límite: Humans Idioma: En Revista: Clin Lab Med Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Urinálisis Límite: Humans Idioma: En Revista: Clin Lab Med Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos
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