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Automated and collision-free navigation of multiple micro-objects in obstacle-dense microenvironments using
Lixiang Zheng1, Gong Li2, Henan Du2,3
1School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, 200444, China.
Microsystems & Nanoengineering
|March 18, 2025
Summary
This study introduces an adaptive light pattern strategy for automated parallel manipulation of micro-objects using optoelectronic tweezers (OET). The method enables precise, collision-free navigation of multiple micro-objects through complex environments.
Area of Science:
- Microfluidics
- Biotechnology
- Robotics
Background:
- Automated parallel manipulation of micro-objects using optoelectronic tweezers (OET) is a growing research area.
- Handling multiple objects in complex, obstacle-dense microenvironments with OET based on negative dielectrophoresis (nDEP) presents significant technical challenges.
Purpose of the Study:
- To develop an adaptive light pattern design strategy for automated parallel OET manipulation.
- To enable precise, collision-free navigation of multiple micro-objects through obstacles to target positions.
Main Methods:
- Development of a multi-micro-object parallel manipulation OET system with simultaneous image processing and path planning.
- Implementation of a novel adaptive light pattern design to dynamically adjust overlapping light patterns, preventing collisions and unintended escapes.
- Verification through systematic simulations and experiments.
Main Results:
- Successful demonstration of automated parallel OET manipulation of multiple micro-objects.
- Effective navigation of polystyrene microparticles through obstacles and microchannels to designated destinations.
- Validation of the adaptive light pattern strategy's efficacy in complex and confined microenvironments.
Conclusions:
- The proposed adaptive light pattern design strategy significantly advances automated parallel micromanipulation using OET.
- This approach overcomes key challenges in navigating micro-objects through complex environments, showing high precision and no collisions.
- The strategy holds substantial potential for applications in microfluidics, cell sorting, and other micro-assembly tasks.
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