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Label-free hematology analysis using deep-ultraviolet microscopy.

Ashkan Ojaghi1, Gabriel Carrazana1, Christina Caruso2,3,4

  • 1Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332.

Proceedings of the National Academy of Sciences of the United States of America
|June 21, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a novel label-free deep-ultraviolet microscopy assay for rapid hematological analysis. The method provides quantitative blood cell counts and morphology without complex procedures, simplifying complete blood counts (CBCs).

Keywords:
deep-UV microscopyhematology analysislabel-free cell classificationmolecular imagingpoint-of-care diagnosis

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Area of Science:

  • Biomedical Imaging
  • Hematology
  • Microscopy

Background:

  • Traditional complete blood count (CBC) and microscopy require complex equipment, reagents, and trained personnel.
  • Current methods for blood analysis are laborious and time-consuming, limiting accessibility in low-resource settings.

Purpose of the Study:

  • To develop a simplified, rapid, and quantitative hematological assay.
  • To enable label-free molecular imaging for improved blood condition diagnosis and monitoring.

Main Methods:

  • Utilized deep-ultraviolet microscopy for label-free molecular imaging of blood cells.
  • Developed a pseudocolorization scheme to mimic conventional staining protocols.
  • Analyzed tens of thousands of live cells in minutes without sample preparation.

Main Results:

  • Achieved quantitative five-part white blood cell differential.
  • Provided quantitative red blood cell and hemoglobin characterization.
  • Enabled clear platelet identification and detailed subcellular morphology analysis.

Conclusions:

  • The label-free deep-ultraviolet microscopy assay significantly simplifies and improves CBC and blood smear analysis.
  • This technology has potential for developing low-cost, point-of-care hematological analyzers for diverse settings.