Flow Cytometry: Advances, Challenges and Trends

J Paul Robinson1,2,3, Grzegorz B Gmyrek3, Bartek Rajwa4

  • 1Basic Medical Sciences, Purdue University, West Lafayette, Indiana, USA.

Insights

Flow cytometry analyzes cell characteristics, greatly advancing immunology by identifying rare cells. Innovations like spectral detection and AI integration promise future biological discovery and clinical applications.

Area of Science:

  • Biotechnology
  • Cell Biology
  • Immunology

Background:

  • Flow cytometry is a powerful analytical technique for characterizing individual cells and particles in suspension.
  • Its primary impact has been in immunology for identifying rare cell populations, but applications extend to various biological systems.
  • Advances include spectral cytometry for higher-parameter analysis and flexible panel design.

Purpose of the Study:

  • To review the current capabilities and limitations of flow cytometry technology.
  • To highlight recent advancements in spectral detection, standardization, and computational analysis.
  • To explore future opportunities in excitation systems, detector technology, and AI integration.

Main Methods:

  • Review of current flow cytometry technologies and their applications.
  • Emphasis on spectral detection, quantitative standardization, and computational analysis.
  • Discussion of emerging trends and challenges in the field.

Main Results:

  • Flow cytometry enables detailed analysis of physical and molecular cell properties.
  • Spectral cytometry offers enhanced capabilities for high-parameter analysis.
  • Integration with AI platforms is a key emerging opportunity.

Conclusions:

  • Flow cytometry is crucial for biological discovery and clinical applications.
  • Addressing technical challenges in detection, standardization, and analysis is vital for future progress.
  • Continued innovation in flow cytometry will drive advancements in various scientific fields.