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Flow Cytometry01:23

Flow Cytometry

The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
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Blood cell counting and classification by nonflowing laser light scattering method.

Ye Yang1, Zhenxi Zhang, Xinhui Yang

  • 1Xi'an Jiaotong University, Institute of Biomedical Engineering, Xi'an 710049, China. ye.yang@umassmed.edu

Journal of Biomedical Optics
|September 28, 2004
PubMed
Summary

This study introduces a nonflowing laser light scattering method for automated blood cell counting and classification. The technique accurately determines red blood cell size distribution and differentiates white blood cells, enabling precise blood analysis.

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Area of Science:

  • Biomedical Engineering
  • Optical Physics
  • Hematology

Background:

  • Accurate blood cell counting and classification are crucial for diagnosing various medical conditions.
  • Traditional methods can be time-consuming and may require manual intervention.
  • Developing automated, high-throughput methods for blood analysis is an ongoing challenge.

Purpose of the Study:

  • To develop and validate a nonflowing laser light scattering method for automatic blood cell counting and classification.
  • To measure red blood cell size distribution and differentiate white blood cell subtypes.
  • To establish a correlation between scattered light intensity and blood cell concentration.

Main Methods:

  • Utilized a double-detector system with a charge-coupled device (CCD) and a silicon photoelectric cell for light scattering detection and focusing.
  • Modeled blood cells as isotropic spheres and applied Mie theory and anomalous diffraction for scattering analysis.
  • Employed nonnegative constraint least-squares (NNLS), Powell, and precision punishment methods for size distribution determination.
  • Investigated the relationship between scattered light intensity and blood cell concentration.

Main Results:

  • Successfully measured the mean and distribution of red blood cell size.
  • Achieved classification of white blood cells into lymphocytes, middle-sized cells, and neutrocytes.
  • Demonstrated a linear relationship between blood cell concentration and scattered light intensity.
  • Validated the method through numerical simulations and experimental results.

Conclusions:

  • The developed nonflowing laser light scattering method offers an automated approach for blood cell analysis.
  • The technique can accurately quantify red blood cell size and classify white blood cells.
  • The established linear relationship allows for reliable determination of blood cell concentration in unit volume.