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
RANDOX LABORATORIES

Download Mobile App




Events

17 Jun 2026 - 19 Jun 2026
08 Jul 2026 - 10 Jul 2026

Image Cytometry Measures Mononuclear Cell Concentration

By LabMedica International staff writers
Posted on 12 Feb 2013
A rapid fluorescence-based image cytometry system has been utilized for brightfield and fluorescence imaging analysis of cellular characteristics. More...


The viability and concentration of isolated peripheral blood mononuclear cells (PBMCs) are traditionally measured by manual counting with trypan blue (TB) using a hemacytometer, but red blood cell (RBC) contamination can be an issue.

Scientists at the Nexcelom Bioscience Laboratories, (Lawrence, MA, USA) compared their Cellometer Vision instrument with both manual counting and automatic method for accurately measuring the concentration of PBMCs in prepared blood samples. Fifteen freshly isolated samples were stained with acridine orange and propidium iodide (AO/PI) to identify RBC contamination. The five different methods were manual counting of TB-stained PBMCs in hemacytometer; manual counting of PBMCs in brightfield images; manual counting of acetic acid lysing of RBCs with TB-stained PBMCs; automated counting of acetic acid lysing of RBCs with PI-stained PBMCs; and AO/PI dual staining method.

Each of the 15 samples measured was categorized into low, medium, or high RBC contamination. Five samples showed less than 10% of RBC contamination, six samples showed 10% to 40% of RBC contamination, and four samples showed RBC contamination greater than 40%. The total particles counted in brightfield increased due to the addition of RBCs, while AO/PI staining showed consistent measurement of PBMCs, which again demonstrated the robustness of the method despite RBC contamination. Although inherent RBC contaminants may have existed in the sample, the purpose was to observe the increasing difference between fluorescently stained nucleated cells and total brightfield cell count including RBCs.

The authors concluded that fluorescence-based image cytometry can be utilized to eliminate the RBC-induced error in patient samples, which can improve accuracy and efficiency of PBMC measurement. Cellometer image cytometry has also demonstrated fluorescence-based cell population analysis such as apoptosis detection, cell cycle, as well as surface marker labeling. The system can be used to perform immunophenotyping of collected PBMCs, and can quickly characterize incoming patient samples, further simplifying PBMC characterization protocol. The study was published in the February 2013 issue of the Journal of Immunological Methods.

Related Links:
Nexcelom Bioscience


Gold Member
Aspiration System
VACUSAFE
Online QC Software
Acusera 24•7
Urine Analyzer
respons® UDS100
Rapid Sepsis Test
SeptiCyte RAPID
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

Clinical Chemistry

view channel
Image: Researchers use a novel immobilized liposome-bound gel beads method to measure CEC levels and their association with cardiovascular risks (Photo courtesy of Institute of Science Tokyo)

Simple Blood-Based Cholesterol Efflux Assay Identifies High-Risk Coronary Plaque Features

Unstable coronary plaques are difficult to identify before they trigger acute cardiovascular events. Standard high-density lipoprotein (HDL) measurements do not always capture how well HDL particles function... Read more

Pathology

view channel
Image: Overview of the uncertainty-aware lensfree computational pathology platform for automated HER2 assessment. A compact lensfree holographic imaging system captures diffraction patterns from immunohistochemically stained breast tissue samples, which are computationally reconstructed and analyzed using deep neural networks with Bayesian uncertainty quantification. (Photo courtesy of Ozcan Lab, UCLA)

Uncertainty-Aware AI Platform Supports Automated HER2 Assessment in Breast Cancer

Accurate assessment of human epidermal growth factor receptor 2 (HER2) is critical for breast cancer diagnosis and treatment selection, yet scoring variability and infrastructure requirements can complicate... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.