Cell streak imaging cytometry for rare cell detection.

Area of Science:

• Biomedical Engineering
• Cell Biology
• Medical Diagnostics

Background:

• Detection of rare cells, like circulating tumor cells, is crucial for clinical applications.
• Current methods face limitations in sensitivity and data management for detecting very low cell concentrations.

Purpose of the Study:

• To develop a highly sensitive imaging flow cytometer with streak imaging capability for rare cell detection.
• To improve data management and throughput for rare cell analysis.

Main Methods:

• Developed a streak mode imaging flow cytometer utilizing low-speed video to capture fluorescently labeled cells.
• Integrated a "wide" high-throughput flow cell for analyzing large sample volumes (up to 20 mL/min).
• Enhanced image signal-to-noise ratio using background subtraction, pixel binning, and CMOS color channel selection.

Main Results:

• Successfully detected rare cells at concentrations of 1 cell/mL and 0.1 cell/mL in buffer with high accuracy.
• Demonstrated accurate detection of rare cells spiked in whole blood at 10 cells/mL.
• Achieved an average measurement of 0.91 cell/mL for a target of 1 cell/mL and 0.083 cell/mL for a target of 0.1 cell/mL.

Conclusions:

• The developed streak mode imaging flow cytometer offers high sensitivity and accuracy for rare cell detection.
• The system's high throughput and enhanced imaging capabilities enable analysis of large sample volumes.
• The device's simplicity and low cost present opportunities for expanded clinical diagnostics, particularly in resource-limited settings.