New Urinalysis Solution Improves Laboratory Workflow by Reducing Manual Reviews and Sample Processing Time

(Brea, CA, USA) has launched the DxU Iris Workcell, its new fully automated system that streamlines urinalysis workflow and reduces manual reviews to 4%.

A routine urinalysis is one the most frequently ordered tests, representing up to 30% of all samples received in the lab. Many of these samples require a lab technician to perform a manual inspection, which causes workflow disruption and a substantial increase in workload. Whether it is confirming the analyzer's findings or identifying unique particle types, manual microscopic reviews are time-consuming and can take up to six times longer per sample than with an automated system. Automating the routine urinalysis workflow with the DxU Iris Workcell reduces sample subjectivity and variability, helping laboratories of all sizes standardize processes, drive faster turnaround time and deliver quality results.

The DxU Iris Workcell pairs the DxU 850m Iris or DxU 840m Iris urine microscopy analyzer with the Arkray AUTION MAX 4030 urine chemistry analyzer to create a scalable, fully automated urinalysis solution. The workcell was developed with proprietary Digital Flow Morphology technology with Auto-Particle Recognition (APR) Software to enable laboratories to deliver standardized results using artificial intelligence (AI). This industry-leading technology isolates, identifies and characterizes urine particles to provide immediate, accurate and reproducible results verified directly on the screen.

"There is no doubt that the pandemic has intensified pressure on the clinical laboratory," said Dr. Peter Soltani, senior vice president & general manager, hematology, urinalysis & workflow information technology solutions at Beckman Coulter. "In this pressurized environment, manual reviews are particularly onerous because they are labor-intensive, taking time and focus away from scientific work. We designed the DxU Iris Workcell to allow urinalysis operators to automatically classify sediment particles, minimizing the need for human intervention."

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Beckman Coulter, Inc.