Measuring and modeling macrophage proliferation in a lab-on-CMOS capacitance sensing microsystem

Area of Science:

• Biomedical Engineering
• Cell Biology
• Biosensor Technology

Background:

• Accurate monitoring of cell proliferation is crucial in biological research and drug development.
• Existing methods for cell counting can be labor-intensive and time-consuming.
• Need for high-throughput, quantitative cell proliferation tracking platforms.

Purpose of the Study:

• To develop and validate a lab-on-CMOS biosensor for quantitative tracking of macrophage proliferation.
• To establish a correlation between biosensor capacitance measurements and cell numbers.
• To create a temporal model for predicting cell population dynamics.

Main Methods:

• Utilized a lab-on-CMOS biosensor platform with multiple electrodes.
• Measured capacitance changes in response to RAW 264.7 macrophage proliferation.
• Developed a temporal model linking capacitance growth factor to cell number evolution over 30 hours.

Main Results:

• Demonstrated a linear correlation between macrophage proliferation and average capacitance growth factor.
• Successfully modeled cell number evolution over extended periods using capacitance data.
• The biosensor platform provides quantitative and real-time insights into cell growth.

Conclusions:

• The lab-on-CMOS biosensor offers a robust method for quantitative cell proliferation monitoring.
• Capacitance measurements serve as a reliable indicator of macrophage cell numbers.
• The developed temporal model accurately captures and predicts cell population dynamics.