Description

About The Book 

“”Flow Cytometry in Translational Immunology”” is a pivotal resource crafted to transform complex flow cytometry principles into actionable, clinical-grade tools for immune monitoring and diagnostics. It moves beyond foundational mechanics such as fluidics, optics, and signal processing, by directly linking them to translational endpoints: quantifying immunosuppressive cells like MDSCs in cancer patients, profiling immune checkpoint expression for immunotherapy stratification, and detecting minimal residual disease with clinical sensitivity. Each technical module is presented not in isolation, but through the lens of real-world application explaining how hydrodynamic focusing enables precise detection of rare circulating tumor cells, or how high-parameter panel design must balance spectral overlap with the need to capture clinically relevant T-cell and myeloid subsets. This approach ensures researchers and clinicians not only operate the instrument competently, but also design, validate, and interpret assays that meet the rigor required for biomarker discovery, clinical trial immune monitoring, and eventual diagnostic implementation.

The book is structured to serve as a comprehensive bridge from bench to bedside, featuring dedicated sections on standardizing assays across laboratory sites, compliance with clinical reporting standards, and integrating flow cytometry with other modalities such as spectral imaging or genomic profiling to define immune signatures. Chapters include detailed immunophenotyping, troubleshooting assays and protocols for longitudinal immune monitoring in autoimmune and oncology segments, strategies for leveraging advanced techniques like spectral cytometry and AI-driven high-dimensional analysis in patient stratification. By grounding every technical discussion in translational relevance, this guide empowers immunologists, laboratory directors, and translational scientists to harness flow cytometry not just as a research tool, but as a robust, reproducible component of precision medicine ultimately enabling data-driven decisions that improve therapeutic outcomes and patient care.