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Updated: Jul 1, 2026

An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects
Published on: January 9, 2020
Raman spectroscopy combined with multiple technologies for label-free identification of immune cells: An overview
Chengshun Jiang1, Jie Deng1, Wanwan Gan2
1Institute of Vascular Diseases, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200086, China.
Raman spectroscopy offers a label-free method for immune cell analysis, improving accuracy and efficiency when combined with advanced techniques. This approach enhances cell sorting for research and clinical applications.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Immunology
Background:
- Traditional immune cell identification uses antibodies/fluorophores, potentially harming cells.
- Raman spectroscopy provides label-free, sensitive biochemical analysis of cells.
Purpose of the Study:
- To review integrated Raman spectroscopy strategies for immune cell sorting.
- To highlight applications in research, diagnostics, and precision medicine.
Main Methods:
- Raman spectroscopy principles and advantages.
- Integration with chemometrics, microfluidics, and machine learning (ML)/deep learning (DL).
Main Results:
- Enhanced accuracy, throughput, and efficiency in immune cell sorting.
- Precise differentiation of immune cell subtypes based on biochemical composition.
Conclusions:
- Integrated Raman spectroscopy offers a non-invasive, high-efficiency alternative for immune cell analysis.
- Potential to advance immunological research, clinical diagnostics, and precision medicine.
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