Related Experiment Video
Updated: Feb 23, 2026

12:26
Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics
Published on: August 27, 2013
18.0K
A Surface Acoustic Wave Pumped Lensless Microfluidic Imaging System for Flowing Cell Detection and Counting
IEEE Transactions on Biomedical Circuits and Systems
|September 4, 2017
Summary
This study presents a miniaturized diagnostic system using a surface acoustic wave (SAW) pump integrated onto a CMOS chip for cell detection and counting. The lab-on-CMOS-chip technology enables efficient, low-error point-of-care diagnostics.
Area of Science:
- Biomedical Engineering
- Microfluidics
- Optics
Background:
- Point-of-care diagnostics require miniaturization of bulky bioanalysis instruments.
- Lab-on-CMOS-chip technology offers a promising solution for miniaturization.
- Existing lensless systems often rely on external, bulky syringe pumps for fluid manipulation.
Purpose of the Study:
- To develop a miniaturized, lensless microfluidic imaging system for flowing cell detection and counting.
- To integrate a surface acoustic wave (SAW) pump directly onto a CMOS image sensor chip.
- To implement an efficient algorithm for continuous cell detection and counting.
Main Methods:
- Integration of a SAW pump onto a CMOS image sensor chip for microfluidic driving.
- Development of a temporal-differencing-based motion detection algorithm.
- Experimental validation using human bone marrow stromal cells in a microfluidic channel.
Main Results:
- The SAW pump successfully drove microfluidic flow at varying powers.
- The system maintained channel temperature below 40°C, ensuring cell viability.
- Automated detection and counting of flowing cells achieved a low statistical error rate of -6.53%.
Conclusions:
- The developed lab-on-CMOS-chip system offers a compact and efficient solution for cell detection and counting.
- SAW pump integration eliminates the need for external pumps, enhancing portability.
- The system demonstrates significant potential for point-of-care diagnostic applications.

