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Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
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Flow Cytometry01:23

Flow Cytometry

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Related Experiment Video

Updated: Jun 1, 2026

Conducting Multiple Imaging Modes with One Fluorescence Microscope
08:32

Conducting Multiple Imaging Modes with One Fluorescence Microscope

Published on: October 28, 2018

Automatic cytometric device using multiple wavelength excitations.

Nelly Rongeat1, Sylvain Ledroit, Laurence Chauvet

  • 1HORIBA Medical, Parc Euromédecine, Rue du Caducée, 34000 Montpellier Cedex 4, France. nelly.rongeat@horiba.com

Journal of Biomedical Optics
|June 7, 2011
PubMed
Summary
This summary is machine-generated.

This study presents an automated hematology analyzer for precise blood cell identification, including eosinophils, basophils, and B lymphocytes. The novel system enhances signal quality and reduces spectral overlap using controlled fluorescence and flow cytometry techniques.

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Last Updated: Jun 1, 2026

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Area of Science:

  • Hematology
  • Immunology
  • Biomedical Engineering

Background:

  • Accurate identification of blood cell populations is crucial for diagnosing various diseases.
  • Traditional hematology analyzers face challenges in distinguishing specific cell subtypes and managing spectral overlap.

Purpose of the Study:

  • To develop an unconventional automated hematology analyzer for precise identification of eosinophils, basophils, and B lymphocytes.
  • To improve signal-to-noise ratio and minimize spectral overlap in multi-parameter cell analysis.

Main Methods:

  • Utilizing an automated hematology analyzer integrating flow cytometry principles.
  • Employing an acousto-optics tunable filter to control dual excitation radiations.
  • Using phycoerythrin cyanin 5 (PC5) conjugated antibodies (anti-CD20, anti-CRTH2) and Thiazole Orange for specific cell labeling.
  • Implementing multiple fluorescence detection for enhanced data acquisition.

Main Results:

  • Achieved precise identification of eosinophils, basophils, and B lymphocytes.
  • Demonstrated significant improvement in signal-to-noise ratio.
  • Effectively decreased spectral overlap from multiple fluorescence emissions.

Conclusions:

  • The developed automated hematology analyzer offers a robust platform for accurate and specific blood cell subpopulation analysis.
  • The combination of controlled fluorescence and flow cytometry techniques enhances analytical performance in hematology.