Related Experiment Video
Updated: May 15, 2025
05:58
Clinical Microfluidic Chip Platform for the Isolation of Versatile Circulating Tumor Cells
Published on: October 13, 2023
1.1K
High-throughput microfluidics for precise separation and focusing of circulating tumor cells with optimized
Amirreza Khodayari1, Sina Ebrahimi1, Mohammadmahdi Topaheidari1
1School of Mechanical Engineering, Sharif University of Technology, Tehran, Iran; Stem Cell and Regenerative Medicine Center, Sharif University of Technology, Tehran, Iran.
Talanta
|April 10, 2025
Summary
This study optimizes microfluidic devices for precise circulating tumor cell (CTC) isolation. An AI-driven design approach achieved high purity and efficiency, advancing cancer diagnostics and research.
Area of Science:
- Biomedical Engineering
- Microfluidics
- Cancer Research
Background:
- Precise separation of circulating tumor cells (CTCs) is vital for cancer diagnosis and treatment.
- Inertial microfluidics offers label-free, high-throughput CTC separation but faces challenges in efficiency and purity.
- Optimizing microchannel design is key to overcoming current limitations in CTC isolation technology.
Purpose of the Study:
- To introduce an optimized triangular microchannel design for enhanced CTC separation.
- To utilize Gaussian Process Regression (GPR) for rapid and cost-effective microchannel design optimization.
- To validate the performance of the optimized microfluidic chip for CTC isolation.
Main Methods:
- Developed a Gaussian Process Regression (GPR) model to predict microchannel separation efficiency and purity.
- Simulated and optimized triangular microchannel geometry (60° angle, R=200μm curvature radius).
- Experimentally validated the microchip using cultured MCF-7 (CTC) and white blood cells (WBCs).
Main Results:
- GPR modeling identified optimal design parameters, significantly reducing computational costs.
- Simulations predicted 100% separation efficiency and purity at 2mL/min flow rate for the optimal design.
- Experimental validation demonstrated high performance: 95.7% efficiency and 93.3% purity (low concentration), 93.2% efficiency and 92.5% purity (high concentration).
Conclusions:
- The integrated approach of machine learning and inertial microfluidics enables efficient microchannel design optimization.
- The optimized microchip provides a reliable and scalable solution for CTC isolation and enrichment.
- This advancement holds significant potential for improving cancer diagnostics and personalized medicine.
