Article
Chemistry, Multidisciplinary
Yuguo Dai, Lina Jia, Luyao Wang, Hongyan Sun, Yiming Ji, Chutian Wang, Li Song, Shuzhang Liang, Dixiao Chen, Yanmin Feng, Xue Bai, Deyuan Zhang, Fumihito Arai, Huawei Chen, Lin Feng
Summary: This study proposes macrophage template-based microrobots (cell robots) that can be individually controlled or work in chain-like swarms for object transportation and manipulation. By loading nanomagnetic particles, these robots can generate a flow field under the influence of an external magnetic field and transport microspheres and sperm. Additionally, they can form chain-like swarms to transport large objects.
Article
Multidisciplinary Sciences
Kenji Nishizawa, Shao-Zhen Lin, Claire Chardes, Jean-Francois Rupprecht, Pierre-Francois Lenne
Summary: Biological tissues acquire reproducible shapes through dynamic cell behaviors, particularly the remodeling of cell-cell contacts. This study developed a technique to manipulate stress patterns on these contacts in the early epithelium of Drosophila embryos and found that Myosin -II activity responds to junction strain rate, facilitating junction shrinkage. These findings provide insights into the efficient deformation of cell-cell contacts in vivo and reveal the mechanosensitive features of their remodeling.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
Article
Chemistry, Multidisciplinary
Pavana Siddhartha Kollipara, Zhihan Chen, Yuebing Zheng
Summary: Optothermal manipulation is a versatile technique that combines optical and thermal forces to control micro-/nanoparticles and biological entities. It overcomes the limitations of traditional optical tweezers and has a wide range of applications in biology, nanotechnology, and robotics. However, there are current challenges in experimental and modeling aspects, which need to be addressed for further advancements in this field.
Article
Optics
Mohsen Samadi, Pooya Alibeigloo, Abolfazl Aqhili, Mohammad Ali Khosravi, Farahnaz Saeidi, Shoaib Vasini, Mostafa Ghorbanzadeh, Sara Darbari, Mohammad Kazem Moravvej-Farshi
Summary: Plasmonic tweezers are indispensable tools for manipulating micro and nano-objects with high precision, utilizing surface plasmon technology to trap particles beyond the diffraction limit. Trapping-potential landscape can be reconfigured by designing plasmonic nanostructures.
OPTICS AND LASERS IN ENGINEERING
(2022)
Article
Nanoscience & Nanotechnology
Weina Zhang, Mingcong Wen, Pu Liu, Guowei Yang, Hongxiang Lei
Summary: Metal nanowires are difficult to manipulate optically due to their high absorption and scattering characteristics, but a microsphere-assisted indirect optical manipulation method has been proposed in this study. By actuating a microsphere to generate a microvortex, a single Ag nanowire can be precisely rotated and oriented without direct interaction between the light and the nanowires. This method is simple, general, and has great significance for the fabrication of optoelectronic nanodevices.
Review
Chemistry, Physical
Xixi Chen, Yanan Zhao, Yao Zhang, Baojun Li, Yuchao Li, Lingxiang Jiang
Summary: This article provides an overview of the important role of optical manipulation in soft matter research, discussing the optical mechanisms governing the interaction between light and soft matter materials. It also explores the wide range of applications and future prospects that arise from the collaboration between optical manipulation and soft matter materials in emerging fields.
Article
Nanoscience & Nanotechnology
Ramin Jamali, Farzaneh Nazari, Azadeh Ghaffari, Sabareesh K. P. Velu, Ali-Reza Moradi
Summary: The study explores the use of speckle tweezers (ST) to manipulate low index micro-particles by repelling them from high intensity regions to lower intensity regions for local confinement. The experiments validate the method and show that ST can also manipulate nanoparticle (NP)-loaded liposomes, enabling collective manipulation of drug micro-containers.
Article
Nanoscience & Nanotechnology
Weina Zhang, Hongxiang Lei, Liyun Zhong, Wenjie Liu, Juan Li, Yuwen Qin
Summary: Optical manipulation of metal nanowires is crucial for optoelectronic nanosystems, but their strong absorption or scattering properties pose challenges. In this study, precise manipulation of a single Ag nanowire was achieved using an optical scattering force. The forces and torques exerted on the nanowire were analyzed and quantitatively calculated, providing insights into the manipulation mechanism. This scattering-force-based method is stable and applicable for nontransparent structures.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Article
Engineering, Electrical & Electronic
Kai Niu, Shangdong Zhao, Shaohua Tao, Fuliang Wang
Summary: An optical tweezers-based optofluidic conveyor has been designed to capture and transport multiple micron particles. The conveyor belts can have different shapes with phase values set as phase gradients. In this study, automatic transportation of microparticles with three different conveyor belts was achieved, and the transportation direction was variable. The system allows particles to travel along arbitrary trajectories and has the potential for other optical manipulation tasks.
SENSORS AND ACTUATORS A-PHYSICAL
(2022)
Article
Nanoscience & Nanotechnology
Jolien Breukers, Sara Horta, Caroline Struyfs, Dragana Spasic, Hendrik B. Feys, Nick Geukens, Karin Thevissen, Bruno P. A. Cammue, Karen Vanhoorelbeke, Jeroen Lammertyn
Summary: This study focused on improving the surface chemistry of microwell arrays to enhance single cell manipulation using optical tweezers. The results showed that surfaces treated with PEG 2000 and PEG Mix yielded optimal outcomes in terms of cellular motion and lifting efficiency, with over 93% of cells displaying motion and over 96% lifting efficiency for both cell types. Integration of this optimized microwell surface with continuous microfluidics demonstrated a versatile platform for high-throughput single cell studies and retrieval of target cells for off-chip analysis.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Optics
Yuzhi Shi, Yongfeng Wu, Lip Ket Chin, Zhenyu Li, Jingquan Liu, Mu Ku Chen, Shubo Wang, Yi Zhang, Patricia Yang Liu, Xiaohong Zhou, Hong Cai, Wanzhen Jin, Yefeng Yu, Ruozhen Yu, Wei Huang, Peng Huat Yap, Limin Xiao, Wee Ser, Thi Thanh Binh Nguyen, Yu-Tsung Lin, Pin Chieh Wu, Jiayan Liao, Fan Wang, C. T. Chan, Yuri Kivshar, Din Ping Tsai, Ai Qun Liu
Summary: This study demonstrates a multifunctional virus manipulation technique that enables efficient trapping and manipulation of arbitrary number of viruses. Enhanced optical forces are produced by fine tuning of interference resonances in engineered arrays of nanocavities, allowing trapping and manipulation of viruses as small as 40 nm. This technique opens up new opportunities for studying virus pathogenesis and inhibitor development.
LASER & PHOTONICS REVIEWS
(2022)
Article
Chemistry, Multidisciplinary
Adnan Shakoor, Bin Wang, Lei Fan, Lingchi Kong, Wendi Gao, Jiayu Sun, Kwan Man, Gang Li, Dong Sun
Summary: The study introduces a novel method of controlling the transfer of mitochondria to single cells using an automated optical tweezer-based micromanipulation system. By transferring healthy mitochondria to cells automatically, accurately, and efficiently, the method can enhance antiaging and metabolic gene expression in cells, potentially reversing aging-related phenotypes.
Article
Nanoscience & Nanotechnology
Wenqiang Li, Xia Wang, Jiaming Liu, Shuai Li, Nan Li, Huizhu Hu
Summary: Introducing rotational degree of control into conventional optical tweezers offers new possibilities in physics, optical manipulation, and life science. Previous rotational schemes relied on microsphere anisotropy, limiting their applications. This study demonstrates the first experimental realization of orbiting a homogeneous microsphere using angular momentum in a transversely rotating optical trap. This method enables the exploration of orbital-translational coupling and the creation of an ultra-stable micro-gyroscope.
Article
Chemistry, Physical
Siyu Kang, Muhammad Shemyal Nisar, Yu Lu, Ning Chang, Yan Huang, Haibin Ni, Sergey M. M. Novikov, Yi Wang, Qiannan Cui, Xiangwei Zhao
Summary: This study introduces a new 3D biocompatible plasmonic tweezer for single living cell manipulation in solution. The key design involves a tapered tip with a three-layer surface structure, which enables reversible binding between functionalized surface and cell membrane through surface plasmon polaritons and thermally driven phase transition of the thermosensitive hydrogel. The 3D biocompatible plasmonic tweezer achieves selective capture, 3D pathway free transport, and position-controlled release of target cells, with excellent biocompatibility, low energy consumption, and high operational flexibility.
Article
Optics
Bingkun Gao, Hui Zhong, Bing Yan, LiYang Yue, Yuting Dang, Peng Chen, Chunlei Jiang, Zengbo Wang
Summary: In this paper, a combined single/dual fiber optical trapping system (SD-FOT) is demonstrated, which enables the realization of different trapping modes simultaneously. The system can trap and manipulate at least three particles and allows for in-situ experimental activity and analysis.
OPTICS AND LASERS IN ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Wendi Gao, Zhixia Qiao, Xiangguang Han, Xiaozhang Wang, Adnan Shakoor, Cunlang Liu, Dejiang Lu, Ping Yang, Libo Zhao, Yonglu Wang, Jiuhong Wang, Zhuangde Jiang, Dong Sun
Summary: This paper presents the development of a novel micro force sensor based on a laterally movable gate field-effect transistor (LMGFET) and proposes a precise electrical model for performance evaluation. A sandwich structure composed of a gold cross-axis decoupling gate array layer and two soft photoresistive SU-8 layers is utilized. The proposed LMGFET-based force sensor demonstrates excellent force-sensing potential for biomedical micromanipulation applications.
Article
Engineering, Biomedical
Ruofeng Wei, Bin Li, Hangjie Mo, Bo Lu, Yonghao Long, Bohan Yang, Qi Dou, Yunhui Liu, Dong Sun
Summary: This paper proposes a learning-driven framework for image-guided laparoscopic localization and 3D reconstruction of anatomical structures. The method includes a deep perception method for depth estimation and a dense reconstruction algorithm to represent the scene. Experimental results show the superior performance of the proposed method in anatomy reconstruction and laparoscopic localization.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Article
Automation & Control Systems
Yingxin Huo, Xiang Li, Xuan Zhang, Xiu Li, Dong Sun
Summary: This article presents an adaptive intention-driven variable impedance controller for wearable robots, which estimates human motion intention and regulates the dynamic interaction between the human and the robot. The proposed controller improves estimation accuracy and enables safe and efficient interaction.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2023)
Article
Automation & Control Systems
Lin Hou, Yong Peng, Dong Sun
Summary: This study proposes a hybrid framework that incorporates a stochastic approach and an integrated optimization strategy to improve train crashworthiness and reduce passenger crash injuries. The stochastic approach evaluates the statistic characteristics of system responses and quantifies the contribution ranking of uncertain parameters to response variations. The optimization strategy solves the nonuniqueness of Pareto optimal solutions and improves the passive safety of the railway industry.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Robotics
Qiqiang Hu, Erbao Dong, Dong Sun
Summary: The article introduces a soft modular climbing robot called Smcbot, which demonstrates good adaptability and motion capability on different surface environments. The robot is assembled based on soft body modules and feet modules, providing large-scale motion and high output load, and its performance is verified through theoretical models and experiments.
IEEE TRANSACTIONS ON ROBOTICS
(2023)
Article
Engineering, Biomedical
Shuxun Chen, Zhiwu Tan, Pan Liao, Yanfang Li, Yun Qu, Qi Zhang, Mingxuan Yang, Kannie Wai Yan Chan, Li Zhang, Kwan Man, Zhiwei Chen, Dong Sun
Summary: This study reports the fabrication of biocompatible and biodegradable GelMA microrobots through two-photon polymerization, and demonstrates programmed degradation and drug release by varying the local exposure dose. The GelMA microspheres are further functionalized for the delivery of DNA vaccines to dendritic cells and primary cells, leading to fast, enhanced, and durable antigen expression in mice.
ADVANCED HEALTHCARE MATERIALS
(2023)
Article
Robotics
Qiqiang Hu, Junyang Li, Erbao Dong, Dong Sun
Summary: This letter introduces a soft and scalable crawling robot with active adaptability to various surfaces. The robot consists of a programmable origami body and electrostatic pads for adhesion. Different cross-sectional shapes of the origami body and incorporated artificial muscles allow the robot to perform multimodal movements. Additionally, the robot can manipulate objects using a lightweight soft origami gripper.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Automation & Control Systems
Wendi Gao, Cunlang Liu, Xiangguang Han, Libo Zhao, Qijing Lin, Zhuangde Jiang, Dong Sun
Summary: This work proposes a high-resolution microelectromechanical system capacitive force sensor for measuring ultralow multiphysics. By designing a bionic swallow structure with multiple feathered comb arrays, the chip dimension is reduced and the undesirable mechanical cross-coupling effect is eliminated. The comb structure is optimized for maximum sensitivity, linearity, and compact chip size. A novel interconnection configuration is utilized to minimize interferences from parasitic capacitance and electrostatic forces. The proposed sensor demonstrates significant improvement over existing capacitive sensors and is feasible for ultralow multiphysics measurement in biomedical applications.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Biochemical Research Methods
Yang Jiao, Fei Pan, Shuxun Chen, Zhangyan Guan, Dong Sun
Summary: This paper reports a new method to produce a genetically engineered macrophage cell line with enhanced immunity through microinjection. By injecting an expression plasmid carrying the Tlr4 gene into a mouse macrophage cell line, a new stable cell line overexpressing the target gene can be constructed. The injected macrophages showed enhanced inhibition effect on tumor cell migration and invasion through activation of downstream signaling pathways.
IEEE TRANSACTIONS ON NANOBIOSCIENCE
(2023)
Article
Chemistry, Multidisciplinary
Yanfang Li, Dingran Dong, Yun Qu, Junyang Li, Shuxun Chen, Han Zhao, Qi Zhang, Yang Jiao, Lei Fan, Dong Sun
Summary: This paper presents the development of a biodegradable microrobot for on-demand multidrug delivery. By combining magnetic targeting transportation with tumor therapy, the microrobot enhances the synergistic effect of multiple drugs for cancer treatment. The microrobot consists of a 3D-printed structure with hydrogel components for drug storage and controlled release. In vivo studies show that the microrobots improve tumor inhibition and induce a response to anti-angiogenesis. This versatile microrobot provides a promising approach for effective combination therapy in cancer treatment.
Article
Engineering, Mechanical
Wendi Gao, Bian Tian, Cunlang Liu, Yingbiao Mi, Chen Jia, Libo Zhao, Tao Liu, Nan Zhu, Ping Yang, Qijing Lin, Zhuangde Jiang, Dong Sun
Summary: In this work, a bionic swallow structure design norm was developed to achieve mechanical decoupling, and a bionic feather comb distribution strategy and a portable readout circuit were proposed to eliminate electrostatic interferences. The sensor exhibited high sensitivity and resistance to disturbances, making it suitable for ultralow biophysical force measurement.
FRONTIERS OF MECHANICAL ENGINEERING
(2023)
Article
Automation & Control Systems
Adnan Shakoor, Mingyang Xie, Wendi Gao, Muhammad Majid Gulzar, Jiayu Sun, Dong Sun
Summary: Mitochondrial dysfunction is significant in fatal diseases like aging, cancer, and Alzheimer's. This article presents a novel technique using a robot-aided microneedle and optical tweezers-based micromanipulation system to control the quality and quantity of mitochondria injected into single live cells. The system successfully transfers healthy mitochondria into single live cells while precisely controlling the quantity and quality of injected mitochondria.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Automation & Control Systems
Xiaowen Kong, Hangjie Mo, Erbao Dong, Yunhui Liu, Dong Sun
Summary: In the existing surgery process, manual adjustment of laparoscopes by surgeons during operation can be distracting and slow down the process. This study presents a data-driven control method that uses a continuum laparoscope to automatically adjust the field of view by tracking surgical instruments. The proposed method achieves higher detection precision and provides more optional keypoints for tracking compared to other methods, as validated by simulation and experiments.
ADVANCED INTELLIGENT SYSTEMS
(2023)
Article
Automation & Control Systems
Chunqi Zhang, Hangjie Mo, Liushuai Zheng, Han Zhao, Gang Feng, Dong Sun
Summary: This paper proposes a liquid-driven laser scanner for tissue ablation and precise manipulation during surgery. The scanner is miniaturized, operates at a low driving voltage, and is suitable for confined spaces. Experimental and theoretical results demonstrate its effectiveness and stability in laser steering.
ADVANCED INTELLIGENT SYSTEMS
(2023)
Proceedings Paper
Automation & Control Systems
Ruofeng Wei, Bin Li, Hangjie Mo, Fangxun Zhong, Yonghao Long, Qi Dou, Yun-Hui Liu, Dong Sun
Summary: This paper proposes a novel framework that combines robot kinematics and monocular endoscope images with deep unsupervised learning for metric depth estimation and 3D reconstruction in surgical navigation. The framework utilizes a brightness-aware monocular depth estimation method to obtain relative depth maps and computes corresponding endoscope poses based on non-linear optimization. A Depth-driven Sliding Optimization (DDSO) algorithm is developed to extract the scaling coefficient from kinematics. Employing a metric depth estimation network, the framework achieves accurate depth estimation and dense visual reconstruction.
2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
(2022)
