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Related Experiment Video

Updated: Aug 5, 2025

Morphological and Compositional Analysis of Neutrophil Extracellular Traps Induced by Microbial and Chemical Stimuli
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Identifying Neutrophil Extracellular Traps (NETs) in Blood Samples Using Peripheral Smear Autoanalyzers.

Kateryna Fedorov1,2, Mohammad Barouqa3, David Yin4

  • 1Division of Hematology, Albert Einstein College of Medicine, Bronx, NY 10467, USA.

Life (Basel, Switzerland)
|March 29, 2023
PubMed
Summary
This summary is machine-generated.

Neutrophil Extracellular Traps (NETs) can be identified using CellaVision® smudge cells (SCs). This method offers a fast, cost-effective way to detect NETs, potentially indicating bacterial or viral infections.

Keywords:
digital white blood cell differentialinfectionneutrophil extracellular trapsperipheral bloodsepsis

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Area of Science:

  • Hematology
  • Immunology
  • Pathology

Background:

  • Neutrophil Extracellular Traps (NETs) are crucial in immunity and disease but difficult to identify.
  • Smudge cells (SCs) are identified by CellaVision® hematology analyzers in routine clinical practice.

Purpose of the Study:

  • To investigate if CellaVision®-identified smudge cells (SCs) represent Neutrophil Extracellular Traps (NETs).
  • To establish a rapid and cost-effective method for NET identification.

Main Methods:

  • Analysis of CellaVision®-identified smudge cells (SCs) for NET markers.
  • Flow cytometry and scattergram analysis of samples with high SC percentages.
  • Correlation of SC percentages with infection incidence.

Main Results:

  • NET-like SCs are not artifacts and stain positive for neutrophil markers (MPO, LAP, NE).
  • Flow cytometry confirmed NET-like SCs express CD45, MPO, CD66b, and surface DNA.
  • High SC percentages correlate with increased bacterial and viral infections.

Conclusions:

  • CellaVision® can reliably identify NETs through smudge cells (SCs).
  • This method provides a fast, cost-effective, high-throughput alternative for NET detection.
  • NET-like SCs may serve as a marker for bacterial and viral infections.