Raman Microscopy: Progress in Research on Cancer Cell Sensing.

Area of Science:

• Biophotonics
• Spectroscopy
• Cancer Diagnostics

Background:

• Raman spectroscopy (RS) is a label-free, non-invasive optical technique.
• RS provides molecular insights into biochemical changes in cancer cells.
• Previous studies highlight RS for cell sensing and diagnostic accuracy.

Purpose of the Study:

• To review the application of Raman spectroscopy in cancer cell diagnosis.
• To discuss molecular understanding of cancer cells via Raman spectra.
• To analyze challenges and advancements in RS for cancer diagnostics.

Main Methods:

• Analysis of Raman spectra from leukemia and breast cancer cells.
• Application of multivariate analysis (PCA, LDA) for objective assessment.
• Integration of Raman imaging, microfluidics, and high-throughput screening.

Main Results:

• Raman spectra reveal molecular differences between cancer and non-cancer cells.
• RS facilitates identification, classification, and post-chemotherapy follow-up of cancer cells.
• Multivariate analysis enables objective and automated spectral assessment.
• Raman imaging offers advantages for clinical pathology and live cell analysis.
• Combined approaches (RS with microfluidics, other imaging) enhance analysis speed and cell throughput.

Conclusions:

• Raman spectroscopy is a powerful tool for molecularly understanding and diagnosing cancer.
• Advancements in data analysis and integrated technologies address key limitations of RS.
• RS holds significant potential for routine clinical pathology and personalized cancer treatment monitoring.