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.
Robinson et al. (2025) studied this question.