Related Experiment Video
Updated: Apr 28, 2026

15:41
A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells
Published on: October 15, 2013
14.5K
High-efficiency rare cell identification on a high-density self-assembled cell arrangement chip
Tsung-Ju Chen1, Jen-Kuei Wu2, Yu-Cheng Chang2
1Institute of NanoEngineering and MicroSystems, National Tsing Hua University, Hsinchu 30013, Taiwan.
Biomicrofluidics
|June 14, 2014
Summary
A novel self-assembled cell arrangement (SACA) chip efficiently detects rare cells in blood samples using simple microscopy. This technology enables precise identification and isolation of target cells for further analysis, simplifying clinical diagnostics.
Area of Science:
- Biotechnology
- Cell Biology
- Medical Diagnostics
Background:
- Detecting individual target cells in blood is challenging for clinical diagnosis.
- Existing cell array technologies allow parallel cell analysis but can be complex.
- There is a need for efficient, simple, and cost-effective rare cell detection methods.
Purpose of the Study:
- To develop a high-density cell self-assembly technology for rare cell detection.
- To create a Self-Assembled Cell Arrangement (SACA) chip for efficient cell analysis.
- To validate the SACA chip's capability in detecting rare cells in human blood samples.
Main Methods:
- Utilized gravity and peripheral microflow for rapid, high-density cell spreading (over 300,000 cells in 5 minutes).
- Employed a Self-Assembled Cell Arrangement (SACA) chip compatible with standard fluorescent microscopy and immunofluorescence.
- Validated the SACA chip using real human peripheral blood samples to detect rare cells.
Main Results:
- Achieved dense, multi-layer cell arrangements with minimal stacking.
- Demonstrated successful detection and analysis of rare cells at ratios below 1/100,000.
- Confirmed the ability to isolate and culture identified cells in-situ on the chip.
Conclusions:
- The SACA chip provides a highly efficient, economical, and simple method for rare cell identification and analysis.
- The technology simplifies operations and reduces costs by eliminating the need for external mechanical devices.
- The SACA chip presents a feasible and economical platform for clinical rare cell detection.

