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• W2892228350 abstract "New technological advances have paved the way for significant progress in automated urinalysis. Quantitative reading of urinary test strips using reflectometry has become possible, while complementary metal oxide semiconductor (CMOS) technology has enhanced analytical sensitivity and shown promise in microalbuminuria testing. Microscopy-based urine particle analysis has greatly progressed over the past decades, enabling high throughput in clinical laboratories. Urinary flow cytometry is an alternative for automated microscopy, and more thorough analysis of flow cytometric data has enabled rapid differentiation of urinary microorganisms. Integration of dilution parameters (e.g., creatinine, specific gravity, and conductivity) in urine test strip readers and urine particle flow cytometers enables correction for urinary dilution, which improves result interpretation. Automated urinalysis can be used for urinary tract screening and for diagnosing and monitoring a broad variety of nephrological and urological conditions; newer applications show promising results for early detection of urothelial cancer. Concomitantly, the introduction of matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOF MS) has enabled fast identification of urinary pathogens. Automation and workflow simplification have led to mechanical integration of test strip readers and particle analysis in urinalysis. As the information obtained by urinalysis is complex, the introduction of expert systems may further reduce analytical errors and improve the quality of sediment and test strip analysis. With the introduction of laboratory-on-a-chip approaches and the use of microfluidics, new affordable applications for quantitative urinalysis and readout on cell phones may become available. In this review, we present the main recent developments in automated urinalysis and future perspectives." @default.
• W2892228350 created "2018-09-27" @default.
• W2892228350 creator A5055550549 @default.
• W2892228350 creator A5083947815 @default.
• W2892228350 date "2019-01-28" @default.
• W2892228350 modified "2023-10-16" @default.
• W2892228350 title "Progress in Automated Urinalysis" @default.
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• W2892228350 doi "https://doi.org/10.3343/alm.2019.39.1.15" @default.
• W2892228350 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6143458" @default.
• W2892228350 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30215225" @default.
• W2892228350 hasPublicationYear "2019" @default.
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