Wenyan Niu

dblp:406/4174 · DBLP profile ↗
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4ranked-venue papers
0as first author
4since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 4 since 2021Systems, architecture and hardware · 4 · 4 since 2021
YearPublicationVenuePosition
2025 High-Precision Parallel Manipulation of Multi-Particle System Using Optoelectronic Tweezers
abstract
This paper presents a multi-particle parallel manipulation optoelectronic tweezers system integrated with computer vision technology, enabling the parallel and precise manipulation of dozens of particles. This system significantly enhances manipulation efficiency while maintaining high precision. By real-time monitoring of particle motion and light patterns, the system can rapidly adjust and optimize its manipulation strategy, thereby improving the stability and reliability of multi-particle synchronization in complex environments. Extensive experimental results demonstrate the system’s outstanding performance. For instance, it can quickly arrange complex patterns and letter sequences, facilitate the coordinated assembly of organoids from particle groups, and efficiently perform the precise separation and arrangement of mixed particles. The core advantage of this system lies in its high parallelism and flexibility, enabling it to handle large-scale synchronous manipulation tasks with exceptional operating accuracy. With continuous technological advancements and the broadening of application scenarios, this system is expected to have a profound impact in fields such as cell sorting, micro-device assembly, and organoid construction, providing robust support for research and technological development in these areas.
Shunxiao Huang, Chunyuan Gan, Zijin Zeng, Hongyi Xiong, Jingwen Ye, Wenyan Niu, Chan Li, Hongyan Sun, Zaiyang Chen, Yingjian Guo, Lin Feng 0002
IROS7
2025 Multimodal Upstream Motion of Magnetically Controlled Micro/Nano Robots in High-Viscosity Fluids
abstract
The efficacy of targeted cancer drug therapy is significantly compromised by imprecise drug delivery mechanisms. Micro/nano robots (MNRs), characterized by their controllable motion, present a promising solution to this challenge. However, the non-Newtonian nature of blood, with its high viscosity and blood cells’ interference, poses substantial limitations on the upstream efficiency of MNRs. This paper innovatively discusses for the first time the effects of blood viscosity and blood cell interference on the motion of MNRs, investigating their upstream motion capabilities in blood through comprehensive theoretical modeling, simulation, and experimental validation. A dynamic model of MNR motion was developed, and the velocity formula for MNRs in non-Newtonian fluid was derived. Experiments were conducted using different magnetic fields in pure water, high-viscosity simulated blood, and diluted blood. Results indicated that under a gradient magnetic field, the upstream velocities of MNRs in pure water, simulated blood, and diluted blood were 45.0, 14.4, and 11.1 mm/s, respectively. Under a rotating magnetic field, the velocities of vortex swarms were 825, 240, and 145 µm/s, respectively. Increased fluid viscosity reduced MNR velocity by 70%, while blood cells caused an additional 10% reduction. This research establishes a theoretical and experimental framework for the upstream motion of MNRs against blood flow, enhancing their potential in targeted drug delivery and broader biomedical applications.
Chan Li, Zijin Zeng, Tianyi Fan, Chutian Wang, Hongyan Sun, Shunxiao Huang, Wenyan Niu, Yingjian Guo, Lin Feng 0002
IROS8
2025 Optoelectronic Navigation-Based Microtruck: For Efficient Cargo Loading, Transport, and Unloading
abstract
This study proposes an optoelectronic navigation strategy leveraging Ag-SiO2microspheres as “microtruck” to overcome the limitations of traditional optoelectronic tweezers (OET) in manipulating negative dielectrophoresis (nDEP) particles. By dynamically adjusting electric field frequency and optical parameters, we regulate particle-induced dielectrophoretic forces (PiDEP) to achieve efficient adsorption, high-speed transport, and site-specific unloading of nDEP-responsive cargo. Experimental results demonstrate a seven times enhancement in manipulation velocity compared to conventional direct optical methods, along with the capability for simultaneous multi-particle transport. In addition, we utilized finite element simulations to analyze the optimal electric field frequency and optical parameters for the microtruck’s loading and unloading processes. Furthermore, a systematic analysis of critical velocities and failure modes under varying cargo loads further validates the robustness of this approach. Demonstrated within a labyrinthine microenvironment, this strategy enables programmable navigation, sequential cargo handling, and micrometer positional accuracy. This study provides an efficient solution for biomedical applications, including precise single-cell manipulation and targeted drug delivery.
Wenyan Niu, Caiding Ni, Shunxiao Huang, Yingjian Guo, Lin Feng 0002
IROS2
2025 A Study on the Generation of Single Cell Droplets via the Combination of Lateral-Field Optoelectronic Tweezers and Electrowetting-on-Dielectric
abstract
Microfluidic technology is currently a popular approach in the field of single-cell research, which is used to reveal the heterogeneity among cells. However, most of the existing microfluidic technologies for single-cell research lack the ability to control the microenvironment of single cells after isolating them. In this work, a technology that combines lateral-field optoelectronic tweezers (LOET) with electrowetting-on-dielectric (EWOD) is used to separate cells into single cells and then encapsulate each single cell within an individual droplet, generating single-cell droplets. More importantly, it also enables the control of the microenvironment of the separated single cells. The driving control of the single - cell droplets is achieved through the EWOD, which has good application prospects in the field of single- cell research.
Shunxiao Huang, Hongyi Xiong, Chunyuan Gan, Jingwen Ye, Wenyan Niu, Lin Feng 0002
IROS6