A tracking algorithm for cell motility assays in CMOS systems

Area of Science:

• Biomedical Engineering
• Cell Biology
• Microelectronic Systems

Background:

• Cell motility assays are vital for understanding cancer metastasis.
• Real-time monitoring of single cells on electrode matrices presents technical challenges.

Purpose of the Study:

• To develop a method for real-time, single-cell monitoring on a 2D electrode matrix.
• To characterize cell motility and cancer cell metastasis.
• To propose a CMOS system for cell location using ECIS data.

Main Methods:

• Developed a CMOS system for cell location based on occupation maps from Electrical Cell-substrate Impedance Spectroscopy (ECIS).
• Implemented an algorithm analyzing eight nearest neighbors to determine the cell center of mass.
• Simulated cell paths using a Brownian motion model with the developed algorithm.

Main Results:

• Achieved over 95% accuracy in determining the cell center of mass coordinates (x, y).
• Successfully simulated cell movement patterns.

Conclusions:

• The proposed method enables accurate real-time monitoring of single cells.
• This technique has significant potential for cell motility assays and cancer metastasis studies.