Choose your country/region and language
Your experience may change as only information for the country or region you select will be presented.
The DxU Iris Microscopy Series automated urine microscopy analyzer includes the DxU 840m Iris, with a throughput of 70 samples per hour or the DxU 850m Iris, with a throughput of 101 samples per hour. The instruments deliver faster turnaround times and accurately standardizes results by reducing manual intervention.
The DxU 1800 System streamlines workflow using industry-leading technology to reduce manual review to 3%.*1 This is achieved using Proprietary Digital Flow Morphology technology with APR software to capture digital images of particles in the urine or in body fluids. Leveraging this technology reduces total sample processing time up to 78% compared to manual microscopy.2†
APR Software evaluates the size, shape, contrast and texture of the urine particles and evaluates each digital image to identify and classify the urine particles into one of 12 primary categories. The operator has the option to further manually subclassify particles into 27 additional categories. This offers easy identification of the urine particles and quick verification of particle presence, reducing the need for manual microscopy to identify and confirm the presence of a category. The primary particle categories include:
Edit-Free Release technology allows the laboratory to auto-verify true positive urines and true negative urines based on release settings they set up. This feature converts the analyzer into a walkaway unit.
The iWARE Integrated Urinalysis Software solution, standard on the analyzer, provides onboard validation and result verification into a single step without the need for middleware. The software helps laboratories in the efficient processing of results while reducing time-consuming steps.1‡
The DxU Iris introduces the iQclear, a cleaning aspiration module that helps with additional cleaning of the sample probe.*
| MICROSCOPY | |
Menu/Test parameters |
Urine particles: Additional categories for subclassification:
Body fluids: |
Measurement technology |
Digital Flow Morphology using Auto-Particle Recognition Software |
Sample throughput |
Up to 101 samples per hour |
Sample identification and capacity |
|
Specimen volume |
|
Workstation |
|
Data storage |
Onboard storage of up to 10,000 patient results |
Communication interface |
Bidirectional with host query |
Operating environment |
|
Electrical power requirement |
|
BTU |
1,200 |
Dimensions and Weight |
Depth |
Width |
Height |
Weight |
| Microscopy module | 25.4" (64.5 cm) | 20.9" (53 cm) | 23" (54.4 cm) | 100.0 lbs (46.0 kg) |
| CPU | 10.8" (27.4 cm) | 5.5 in (14.0 cm) | 12.7" (32.3 cm) | 28.0 lbs (13.0 kg) |
| Touchscreen monitor with base | 8.6" (21.8 cm) | 20.4 in (517.4 mm) | 13.8" (35 cm) | 23.8 lbs (10.8 kg) |
The DxU Micrscopy Series provides a standardized, fully automated method for the analyses of RBC count and nucleated cell count in cerebrospinal, synovial and serous fluids. Digital Flow Morphology technology isolates particles in body fluids to provide immediate and reproducible results that can be verified on the screen.
Learn more
DxU 1800 System fully automated solution takes the interruptions out of urinalysis workflow.
Optimize urinalysis workflow efficiency with up to 300 sample-per-hour throughput.
Hematology analyzers deliver trusted results, streamlining lab workflow and enhancing productivity.
Confidently minimize downtime, drive efficiency and maximize performance so you can deliver results on time.
*The DxU 850m/840m leverages the same proprietary technology present on the iQ200 series automated urine microscopy analyzer. Results of all studies are transferable; however, performance data were collected using the iQ200.
†The reduction in sample processing time was observed at a single site and processing time
improvements will vary according to laboratory practices and workflows.
‡This claim is based on a peer reviewed article.1. Liu Xuekai, Chen Weibin, Li Xiaolong, et. al. Establishment and validation of auto verification criteria for urine analysis workstation in a multi‐center study [J]. Chinese Journal of Laboratory Medicine, 2020, 43(12): 1225-1231. DOI: 10.3760/cma.j.cn114452-20200427-00433.
2. Beaufort Memorial Urinalysis Workflow Case Study, CS-52048.
3. Xuekai L, Weibin C, Xiaolong L, et al. Establishment and validation of auto verification criteria for urine analysis workstation in a multi-center study. Chinese Journal of Laboratory Medicine. December 11, 2020.
MAPSS-3130-GBL-EN-v1 (v1.2)