Raman spectroscopy combined with multiple technologies for label-free identification of immune cells: An overview.

Authors

Chengshun Jiang, Jie Deng, Wanwan Gan, Jiaqi Zou, Tongkai Cai, Hao Yin, Yongbing Cao

Published in

Journal of pharmaceutical analysis. Volume 16. Issue 6. Pages 101468. Epub Oct 10, 2025.

Abstract

Traditional immune cell identification and sorting methods rely on antibodies and fluorophores, which may compromise cell viability and functionality. Raman spectroscopy, a label-free and highly sensitive technique, enables precise differentiation of immune cell subtypes based on their intrinsic biochemical composition. When integrated with chemometrics, microfluidics, and machine learning (ML)/deep learning (DL) approaches, Raman spectroscopy significantly enhances the accuracy, throughput, and efficiency of immune cell sorting. This review systematically analyzes the principles and advantages of these integrated strategies and explores their potential applications in immunological research, clinical diagnostics, and precision medicine, paving the way for non-invasive and high-efficiency immune cell analysis.

PMID:
42376474
Bibliographic data and abstract were imported from PubMed on 30 Jun 2026.

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