We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
Sekisui Diagnostics

SYSMEX-EUROPA

Sysmex Europe designs and produces laboratory and hematology diagnostic solutions, including instruments, reagents, c... read more Featured Products: More products

Download Mobile App




Automated Nucleated Red Blood Cell Enumeration Evaluated

By LabMedica International staff writers
Posted on 17 Jun 2015
The enumeration of nucleated red blood cell (NRBC) has been evaluated on a new automated hematology analyzer and to demonstrate the precision compared to manual counts (MC) at the various NRBC values.

The presence of peripheral blood nucleated red blood cell is associated with pathological conditions and leads to the overestimation of white blood cell count in automated hematology analyzers (HA) and therefore, accurate detection and enumeration of NRBCs are important.

Scientists at Mahidol University (Bangkok, Thailand) analyzed clinical blood specimens that were sent from both in- and out-patient departments to a central laboratory at during August 2013 and October 2013. More...
These peripheral blood specimens were collected using dipotassium ethylenediaminetetraacetic acid (EDTA) as an anticoagulant. The residual samples from routine testing with adequate volume for repeated testing were used and were analyzed within two hours of blood collection.

The automated hematology analyzer used was the Sysmex XN-3000 (Sysmex Corporation; Kobe, Japan) which comprises one sampler, two Sysmex XN Modular analyzers, and one Sysmex SP-10 slidemaker/stainer. Blood smears were prepared on the Sysmex SP-10 slidemaker/stainer using Wright-Giemsa reagent. Staff member counted the number of NRBCs per 200 white blood cells (WBCs) using light microscope at × 400 magnification. Included in the study were 234 specimens from 127 patients (54 males and 73 females) with initial reports of NRBCs more than 0.1% by automated hematology analyzer.

In the comparison study between XN and MC, NRBCs ranged from 0% to 612.5%. Regression analysis demonstrated a close accord between the methods. The mean bias of 14.1% with 95% limits of agreement between 48.76% and 76.95% was found. The NRBC counts from XN appeared to be more in accordance with MC when the NRBCs were lower than 200% with the concordance rate of 94.2%.

The authors concluded that the automated NRBC enumeration by XN was precise and could replace the traditional MC, especially for the specimens with NRBCs lower than 200%. This approach may improve laboratory management, especially for laboratories which frequently encounter normoblastemia. It should be noted that MC is a very laborious procedure requiring skilled technical knowledge. The study was published in the June 2015 issue of the International Journal of Laboratory Hematology.

Related Links:

Mahidol University 
Sysmex Corporation 



Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
βeta-Hydroxybutyrate Reagent
β-Hydroxybutyrate LiquiColor®
Microbiology Laboratory Automation Solution
BD Kiestra™ ReadA+BarcodA
Gold Member
Fully-auto Specific Protein (Nephelometry) Analyzer
PA240
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Molecular Diagnostics

view channel
Image: The test combines RNA signals from the tumor-immune microenvironment to predict treatment response, rather than relying on a single marker such as PD-L1 expression.(Image Credit: Adobe Stock)

RNA-Based Test Predicts Immunotherapy Response in Non-Small Cell Lung Cancer

Non-small cell lung cancer (NSCLC) represents the largest U.S. patient population eligible for immune checkpoint inhibitor therapy. Treatment selection often relies on PD-L1 expression, but a single protein... Read more

Immunology

view channel
Image Credit: Adobe Stock

Immune Profiling Identifies Early Maternal Autoantibodies Linked to Preterm Birth Risk

A typical pregnancy lasts about 40 weeks, but labor begins prematurely in roughly one in 10 pregnancies. Preterm birth is the leading cause of newborn death worldwide, yet its underlying causes and which... Read more

Technology

view channel
Image: The laser-based photoacoustic spectroscopy setup consists of a Mid-IR laser equipped with three QCL modules covering wavelengths from 5.6 μm to 12.9 μm, two silver coated mirrors (SCM), a dichroic mirror (DM) with a transmittance of 90%, a thermal power sensor head (PM) to monitor the output laser power, a mechanical chopper (MC) for frequency modulation and a CEPAS-detector with a self-designed swab holder (SH). (Credit: Graunke, T., Scholz, T., Pieniak, M. et al. Scientific Reports (2026). https://doi.org/10.1038/s41598-026-68298-9)

Laser-Based Swab Analysis Shows Promise for Detecting Disease-Linked Odor Patterns

Disease-related changes in volatile organic compounds can alter body odor, producing measurable patterns in exhaled breath and bodily fluids. Current analytical methods can be complex, time-consuming,... Read more

Industry

view channel
Image: NeoGenomics selected Indica Labs’ HALO AP platform to eable its digital pathology operations through a scalable, cloud-based framework (Photo courtesy of Indica Labs)

Expanded Partnership Scales AI-Powered Digital Pathology for Oncology

Oncology diagnostics rely on pathology and biomarker information to guide personalized treatment. As computational pathology and artificial intelligence (AI) expand insights from tissue analysis, laboratories... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.