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Related Concept Videos

Classification of Leukocytes01:30

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Leukocyte disorders can lead to either leukopenia, characterized by an abnormally low leukocyte count, or leukocytosis, marked by a very high leukocyte number.
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An adult in good health typically has between 4,500 and 11,000 leukocytes, or white blood cells, per microliter of blood, which constitutes about 1% of the total blood volume. Unlike red blood cells, white blood cells contain a nucleus and other cellular organelles but do not have hemoglobin. Most white blood cells reside in connective tissues, particularly in lymphatic organs such as the lymph nodes, with only a small fraction present in circulating blood.
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The Nucleus01:32

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In an atom, the negatively charged electrons are attracted to the positively charged nucleus. In a multielectron atom, electron-electron repulsions are also observed. The attractive and repulsive forces are dependent on the distance between the particles, as well as the sign and magnitude of the charges on the individual particles. When the charges on the particles are opposite, they attract each other. If both particles have the same charge, they repel each other.
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Quick Leukocyte Nucleus Segmentation in Leukocyte Counting.

Yapin Wang1, Yiping Cao1

  • 1College of Electronic Information Engineering, Sichuan University, Chengdu, Sichuan 610064, China.

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|July 17, 2019
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Summary

This study introduces a rapid method for segmenting leukocyte nuclei in blood smears using RGB color space differences. The technique enhances real-time analysis and accurate counting of leukocyte types in automated microscopy.

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Area of Science:

  • Medical Imaging
  • Hematology
  • Computational Biology

Background:

  • Accurate leukocyte nucleus segmentation is crucial for real-time analysis of human blood smears.
  • Automated microscopy requires efficient and rapid segmentation techniques for clinical applications.

Purpose of the Study:

  • To develop a fast and effective method for leukocyte nucleus segmentation using RGB color space.
  • To enable real-time online scanning and accurate counting of leukocytes in peripheral blood smears.

Main Methods:

  • Utilized the difference between Blue (B) and Green (G) color components (B-G values) in RGB space for segmentation.
  • Applied size filtering to distinguish leukocyte nuclei from smaller platelets based on B-G value analysis.
  • Employed an 8-bit subtraction operation for enhanced segmentation speed.

Main Results:

  • The proposed B-G component difference method accurately segments leukocyte nuclei and platelets.
  • Size filtering effectively isolates leukocyte nuclei from platelets.
  • The method achieves high segmentation speed, suitable for real-time applications.
  • Accurate segmentation and counting of all five types of leukocytes were demonstrated.

Conclusions:

  • The B-G component difference method offers a significant speed improvement for leukocyte nucleus segmentation.
  • This technique is highly suitable for real-time peripheral blood smear autoscanning systems.
  • The method enables accurate identification and counting of different leukocyte types, supporting clinical diagnostics.