Integrating artificial intelligence into flow cytometry workflows offers huge potential benefits both in research and clinical diagnostics. Here, Shahnawaz Memon looks at current and future applications.
Flow cytometry is an advanced analytical technology that has become a vital tool in modern biological research and clinical diagnostics. This technique allows the detailed analysis of individual cells or particles in suspension, giving information on cellular properties such as size, complexity, and biomarker expression. It has diverse applications, including immunophenotyping, cell sorting, and apoptosis studies, making it a core of haematology and oncology. Now, the integration of artificial intelligence (AI) in flow cytometry has transformed its capabilities. AI-driven tools can speed up the process while offering improved accuracy and depth of interpretation, enabling real-time analysis and personalised medicine.
This article looks into the basics of flow cytometry, its role in haematological malignancies, and how AI could facilitate change. Finally, this paper discusses future prospects and what challenges the developing technology might introduce.
Flow cytometry
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