Related Experiment Video
Updated: Aug 24, 2025

09:30
Bacterial Detection & Identification Using Electrochemical Sensors
Published on: April 23, 2013
28.4K
Robotic Intracellular Electrochemical Sensing for Adherent Cells
Weikang Hu1, Yanmei Ma1, Zhen Zhan1
1Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems, Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, China.
Cyborg and Bionic Systems (Washington, D.C.)
|October 26, 2022
Summary
This study introduces an automated nanopipette system for precise intracellular analysis, improving cell detection and reactive oxygen species (ROS) measurement. This advancement enables high-throughput single-cell studies for disease diagnosis.
Area of Science:
- Biomedical Engineering
- Cell Biology
- Microfluidics
Background:
- Nanopipette observation of intracellular processes is crucial for understanding cell heterogeneity and disease.
- Manual nanopipette operation suffers from low throughput and poor reproducibility.
Purpose of the Study:
- To develop an automated nanopipette-based microoperation system for intracellular sensing.
- To enhance cell detection, precise nanopipette positioning, and intracellular measurements.
Main Methods:
- Developed a robust focus algorithm for adherent cell detection.
- Implemented 3D non-overshoot nanopipette tip positioning using template matching.
- Utilized ion current feedback for nanopipette proximity detection to cell surfaces.
- Demonstrated electrochemical detection of intracellular reactive oxygen species (ROS).
Main Results:
- Achieved high accuracy in automated adherent cell detection (95.65% TPR, 7.59% FPR).
- Successfully demonstrated 3D non-overshoot positioning and proximity detection.
- Validated intracellular ROS detection in human breast cancer and zebrafish embryo cells.
Conclusions:
- The automated system provides a systematic approach for intracellular sensing in adherent cells.
- This technology lays the foundation for high-throughput single-cell analysis and disease diagnosis.

