On-chip analysis of magnetically labeled cells with integrated cell sorting and counting techniques

Area of Science:

• Biomedical Engineering
• Cell Biology
• Medical Imaging

Background:

• Cell therapies require magnetically labeled cells for tracking via magnetic resonance imaging (MRI).
• Pre-infusion analysis of sorted, labeled cells is crucial for optimal in vivo imaging performance.
• Current methods may lack the precision needed for quantitative analysis of labeled cells.

Purpose of the Study:

• To develop and validate a microfluidic chip for the quantitative analysis of magnetically labeled cells.
• To integrate magnetophoresis-based cell sorting and impedance-based cell counting on a single chip.
• To demonstrate the chip's utility in optimizing cell sorting and labeling processes for MRI-based cell tracking.

Main Methods:

• Development of a microfluidic chip incorporating magnetophoresis for cell sorting and impedance sensing for cell counting.
• Utilized RAW264.7 macrophages as a model system to test chip functionality.
• Quantified the number and magnetic loading distribution of sorted, magnetically labeled cells.

Main Results:

• Successfully demonstrated both magnetophoresis-based cell sorting and impedance-based cell counting functions.
• Determined the number and magnetic loading distribution of sorted, magnetically labeled RAW264.7 macrophages.
• Validated the chip's application in optimizing buffer flow rates, determining average magnetic loading, and guiding cell processing for in vivo imaging.

Conclusions:

• The developed microfluidic chip provides an integrated solution for quantitative analysis of magnetically labeled cells.
• This lab-on-a-chip system facilitates the optimization of cell labeling and sorting for enhanced MRI-based cell tracking.
• The technology holds significant potential to advance cell therapy research and clinical applications reliant on cell tracking.