SEM-Raman image cytometry of cells.

Area of Science:

• Biomedical Imaging
• Cell Biology
• Spectroscopy

Background:

• Distinguishing cancer cells from non-cancerous cells is crucial for diagnosis and treatment.
• Existing microscopy techniques often lack the combined resolution and chemical specificity needed for detailed cellular analysis.

Purpose of the Study:

• To develop and validate an integrated scanning electron microscopy (SEM) and Raman micro-spectroscopy system for cellular characterization.
• To enable the identification of different cancer and non-cancer cells using SEM-Raman image cytometry.

Main Methods:

• A hybrid microscopy system combining high-resolution SEM with Raman micro-spectroscopic imaging was developed.
• A specialized sample preparation protocol using conductive stainless steel substrates with low Raman scattering was established.
• The workflow was validated using blood cells and cells from the SKBR-3 breast cancer cell line.

Main Results:

• The system successfully acquired high-resolution SEM images of uncoated cells.
• Spatial correlation between SEM morphology and Raman chemical information was achieved.
• Distinctive SEM-Raman signatures were observed for different cell types, enabling their characterization.

Conclusions:

• Integrated SEM-Raman micro-spectroscopy provides a powerful tool for label-free cell identification and characterization.
• This hybrid approach enhances cytometric analysis by combining morphological and chemical data.
• The presented methodology offers a promising avenue for advancing cancer cell research and diagnostics.