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Updated: Jan 10, 2026

Quality-Controlled Sputum Analysis by Flow Cytometry
Published on: August 9, 2021
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.
Abstract:
Flow cytometry is a versatile analytical technology for measuring physical and molecular characteristics of individual cells or particles in suspension. The technology has had its greatest impact in immunology, enabling the identification and quantification of rare cell populations within complex mixtures, but applications span diverse biological systems including hematopoietic cells, microorganisms, cultured cells, plant cells, gametes, and disaggregated tissues. Target molecules are typically identified using fluorophore-conjugated antibodies, though alternative labeling strategies exist. A key advantage of flow cytometry is the ability to physically isolate cells of interest for downstream applications such as culture, genomic analysis, or functional studies. The field has undergone substantial evolution from conventional filter-based polychromatic systems to spectral cytometry platforms that capture full emission spectra, enabling higher-parameter analyses and more flexible panel design. This review examines current capabilities and limitations of flow cytometry technology, with emphasis on recent advances in spectral detection, quantitative standardization, and computational analysis. We discuss remaining technical challenges and explore emerging opportunities for innovation in excitation systems, detector technology, and integration with artificial intelligence-based analysis platforms. Addressing these challenges will be essential for cytometry to continue driving biological discovery and clinical applications in the coming decades.
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