Three-dimensional forward-scattering imaging flow cytometry system for single-cell analysis

Area of Science:

• Biomedical Engineering
• Cell Biology
• Optical Imaging

Background:

• Label-free single-cell 3D imaging is crucial for accurate phenotyping and molecular analysis.
• 3D forward-scattering imaging provides detailed subcellular information but suffers from transmitted-beam interference.

Purpose of the Study:

• To develop a high-throughput 3D forward-scattering imaging flow cytometry system.
• To overcome challenges associated with transmitted-beam interference in dark-field imaging.

Main Methods:

• Utilized optical needle-beam illumination.
• Employed linear micro-mirror arrays for axial scatter detection.
• Applied spatiotemporal deconvolution algorithms for image reconstruction.

Main Results:

• Achieved robust subcellular resolution at approximately 400 cells/s.
• Validated the system with microstructures, hydrogel beads, and HEK-293 cells.
• Demonstrated capability for label-free cellular diagnostics and analysis.

Conclusions:

• The developed platform enables high-content, label-free cellular analysis.
• The system is adaptable for cell sorting and AI-driven classification.
• Offers significant potential for biomedical research and diagnostics.