Home Resources BLOG Optoseeker Publishes Top Journal Breakthrough: OET Enables "Cell-Level Autopilot"​

Optoseeker Publishes Top Journal Breakthrough: OET Enables "Cell-Level Autopilot"​

2025-03-21

Optoseeker collaborated on groundbreaking optoelectronic tweezers (OET) research, "Automated and collision-free navigation of multiple micro-objects in obstacle-dense microenvironments using optoelectronic tweezers," published in Microsystems & Nanoengineering.

Automated and collision-free navigation of multiple micro-objects in obstacle-dense microenvironments using optoelectronic tweezers.png

As a co-affiliated institution, ZhuiGuang Bio deeply participated in the technology development and industrialization, providing the core instrument—the OptoBot®500 optoelectronic tweezers (OET) system.​

The research team proposed an adaptive light pattern design strategy that leverages OET technology to achieve ​​100% collision-free automated navigation of 10 microparticles​​ within complex, obstacle-dense microenvironments. The system demonstrated ​​100% target capture rate​​ with ​​sub-micron-level manipulation precision​​.

This approach effectively resolves the issue of particle escape caused by overlapping light patterns in conventional methods, reducing the critical avoidance distance from 32μm to 10μm (​​68% reduction​​). This breakthrough addresses the long-standing parallel control bottleneck in micro-nano manipulation, providing a revolutionary solution for high-throughput applications including ​​single-cell sorting​​ and ​​drug delivery​​.

I. Journal Profile​
Microsystems & Nanoengineering

  • ​Impact Factor (2024): 7.3​
  • ​JCR Quartile: Q1​
  • CAS Rating: Engineering Technology, Tier 1

II. Research Innovations​

1.​​Adaptive Light Patterning​

    • Dynamically reshapes optical traps to prevent particle escape from overlapping patterns.
    • ​68% reduction​​ in collision distance (32μm → 10μm).

Light pattern efficacy analysis


Adaptive strategy validation

2.​​Intelligent Algorithm Integration​

    • Combines ​​YOLOv7​​ (real-time detection), ​​Hungarian Algorithm​​ (path allocation), and ​​CBS​​ (collision avoidance).
    • Achieves collision-free navigation for ​​10 microparticles​​ among ​​200+ obstacles​​.
      (Fig. 1c: OET system flowchart | Fig. 5a-c: Path planning simulation)


OET system flowchart
 
Path planning simulation

​3.Experimental Validation​

  • ​100% capture rate​​, ​​zero escape​​, and ​​submicron precision​​ via COMSOL simulations and microchip testing.
10-particle automated transport


III. Applications​

  • High-throughput single-cell sorting
  • Micro-tissue engineering
  • Precision drug delivery

IV. Optoseeker’s Contribution​

  • ​Core Equipment​​: Provided ​​OptoBot®500 Optoelectronic Microfluidics System​​.
  • ​Technical Validation​​: Executed feasibility tests for cell-sorting modules.
  • ​Co-author Role​​: Drove R&D and industry-academia translation.

500 侧视图.png

Expanding particle capacity, diverse obstacle geometries, and customized manipulation protocols for advanced microfluidics integration.