Article
Multidisciplinary Sciences
Gwangjun Go, Ami Yoo, Kim Tien Nguyen, Minghui Nan, Bobby Aditya Darmawan, Shirong Zheng, Byungjeon Kang, Chang-Sei Kim, Doyeon Bang, Seonmin Lee, Kyu-Pyo Kim, Seong Soo Kang, Kyung Mi Shim, Se Eun Kim, Seungmin Bang, Deok-Ho Kim, Jong-Oh Park, Eunpyo Choi
Summary: This study presents a new type of microrobots that can be guided in real time using X-ray and magnetic resonance imaging (MRI). These microrobots consist of a biodegradable porous structure and magnetic nanoparticles, allowing for targeted delivery of therapeutic and imaging agents through magnetic guidance. Additionally, they can be tracked postoperatively using MRI and gradually degrade over time.
Article
Fisheries
Xuming Pan, Wenyu Li, Alan Warren, Zhongdian Dong
Summary: Tetrahymena pyriformis is a histophagus protozoan ciliate responsible for tetrahymenosis, with its morphology, infraciliature, SSU rRNA and cox 1 gene sequences investigated using various methods. Diseased fish exhibit symptoms such as mucus secretion, red spots on eyes and fins, and shriveled and pale gills. Scratch inoculation with T. pyriformis successfully infected P. tetrazona, emphasizing the importance of lesions on body surface in the invasion process.
Article
Engineering, Biomedical
Sungwoong Jeon, Sun Hwa Park, Eunhee Kim, Jin-young Kim, Sung Won Kim, Hongsoo Choi
Summary: Targeted stem cell delivery using magnetically powered microrobots through intranasal administration shows promise in treating central nervous system disorders in a minimally invasive manner.
ADVANCED HEALTHCARE MATERIALS
(2021)
Article
Robotics
Luyao Wang, Li Song, Hongyan Sun, Yiming Ji, Yuguo Dai, Lin Feng
Summary: This study proposes a clustering control strategy for magnetic nanoparticles to form vortex-like swarms and chain-like ones, enabling precise navigation and targeted tumor therapy. The vortex-swarm robots can adapt to different environments, overcome obstacles, and kill cancer cells with the photothermal effect of magnetic nanoparticles.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Pharmacology & Pharmacy
Zhengjun Fang, Xinliang Yu, Qun Zeng
Summary: The random forest algorithm combined with ten Dragon descriptors was employed to develop a quantitative structure-toxicity/activity relationship model for predicting the toxicity pIGC(50) of chemical compounds towards Tetrahymena pyriformis. The optimal model achieved low root mean square errors on both the training and test sets, indicating its higher accuracy compared to other existing models. This study confirms the feasibility of using the random forest algorithm for predicting chemical toxicity towards Tetrahymena pyriformis.
Article
Robotics
Michael F. Reynolds, Alejandro J. Cortese, Qingkun Liu, Zhangqi Zheng, Wei Wang, Samantha L. Norris, Sunwoo Lee, Marc Z. Miskin, Alyosha C. Molnar, Itai Cohen, Paul L. McEuen
Summary: This study develops an integration process and builds microscopic robots controlled by complementary metal oxide semiconductor electronics. These robots, sized from 100 to 250 micrometers, are powered by light and can respond to optical commands. This work lays the foundation for the development of future autonomous microscopic robots.
Article
Fisheries
Zhen Wang, Zhongdian Dong, Dawei Zhang, Liqun Liang, Weijie Mu
Summary: Phoxinus lagowskii, a widely distributed and predominantly cultured species in northeast China, is highly susceptible to Tetrahymena infection in cultivation. Infected P. lagowskii showed abnormal behavior and hematological changes, with increased antioxidant enzyme activities in the gills. Transcriptome analysis revealed upregulation of genes associated with innate immune responses and downregulation of genes related to inflammation and apoptosis upon T. pyriformis infection. This study provides insights into the immune response and potential control measures for ciliate diseases in freshwater fish.
AQUACULTURE INTERNATIONAL
(2021)
Article
Environmental Sciences
Yin Hua Cui, Qing Shan Shi, Dan Dan Zhang, Ling Ling Wang, Jin Feng, Yi Wen Chen, Xiao Bao Xie
Summary: The study evaluated the biotoxicities of imidazolium-based ILs in Tetrahymena pyriformis and investigated IL detoxification by adding glutathione, cysteine, and NADH, with results showing that NADH exhibited the best detoxification ability.
ENVIRONMENTAL POLLUTION
(2021)
Article
Biotechnology & Applied Microbiology
Mu Li, Tao Zhang, Xiang Zhang, Jinjiang Mu, Weiwei Zhang
Summary: This study presents a strategy to reconfigure paramagnetic nanoparticles into a vector-controlled microswarm with 3D collective motions by programming sawtooth magnetic fields. The direction of the magnetic-field plane can be adjusted to manipulate the swarm to move in different directions, and the vertical wheel-like swarms show enhanced speed and maneuverability. The formation and locomotion mechanisms of the wheel-like swarm were analyzed using molecular dynamics methods. Additionally, a strategy to actuate swarms to stand and hover in situ under a programming swing magnetic fields was designed, giving the wheel-like swarms multi-modal locomotion and load-carrying capabilities.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Engineering, Environmental
Mohammad Hossein Keshavarz, Zeinab Shirazi, Parvin Kiani Sheikhabadi
Summary: A new model was introduced for reliable prediction of the toxicity of organic aromatic compounds based on the logarithm of 50% growth inhibitory concentration of Tetrahymena pyriformis, showing good reliability and accuracy in internal and external validations.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Chemistry, Multidisciplinary
Kyle M. Kirkpatrick, Benjamin H. Zhou, Philip C. Bunting, Jeffrey D. Rinehart
Summary: Magnetization is a measurable property of materials that provides information about their electronic structure, phase purity, and impurities. Superparamagnetism, a size-dependent property of magnetic materials, has been underexplored in the field of quantum materials. In this study, a statistical model is used to analyze a dataset of variable-size superparamagnetic Fe3O4 particles. The results show that parameters of the intrinsic probability distribution, such as the maximum susceptibility, are more suitable for describing the superparamagnetic behavior compared to standard measures like saturation magnetization. This analysis has potential applications in synthesis diagnostics and prediction of new properties and functionality.
Article
Engineering, Environmental
Ankur Kumar, Trina Podder, Vinay Kumar, Probir Kumar Ojha
Summary: Hazardous aromatic compounds are likely to enter the surrounding environment and pose a threat to humans and other habitats. Therefore, it is necessary to assess their toxicity before being marketed. This study developed in silico-based predictive models using a PLS regression approach to explore the structural features responsible for the toxicity of T. pyriformis. The models were validated using external and internal validation metrics, and Read-Across software showed better results for test set compounds compared to individual models.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Review
Engineering, Multidisciplinary
Min Wang, Tianyi Wu, Rui Liu, Zhuoran Zhang, Jun Liu
Summary: This paper reviews recent advances in selective and independent control for multi-microrobot or multi-joint microrobot systems driven by magnetic fields. It introduces methods to decode global magnetic fields for individualized actuation of multiple microrobots and emphasizes the importance of independent control for the effective cooperation of multiple microrobots in accomplishing complex operations.
Article
Automation & Control Systems
Seungchan Hwang, Armando Ramos-Sebastian, Sung Hoon Kim
Summary: This article presents a novel strategy for two-dimensional feedbackless automatic locomotion on a liquid surface by magnetic milli/microrobots, using only one coil. The system uses a trapping point (TP) created by balancing gravity, buoyancy, and magnetic forces to confine the millirobot to the surface of the liquid. By changing the location of the TP along the fluid surface through coil rotations, precise position control of the magnetic millirobot can be achieved without the need for position feedback.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Multidisciplinary Sciences
Satishkumar Subendran, Chun-Fang Wang, Dineshkumar Loganathan, Yueh-Hsun Lu, Chia-Yuan Chen
Summary: In this work, an aquatic microrobot was developed using the building block technique. An in-house electromagnetic system and control algorithm were developed to achieve precise real-time dynamics of the microrobot. The microrobot's capability in flow manipulation and lab chip applications was demonstrated through a mixing task and dissolution test.
SCIENTIFIC REPORTS
(2022)
Article
Biochemical Research Methods
Jugal Saharia, Y. M. Nuwan D. Y. Bandara, Min Jun Kim
Summary: Electrolyte chemistry plays a crucial role in the transport properties of analytes through nanopores. In this study, the translocation properties of human serum transferrin (hSTf) protein were investigated under different salt concentrations with positive or negative chemical gradients. The experiments showed that translocations occurred in all configurations under positive gradient conditions, while no translocations were observed under negative gradient conditions.
Article
Computer Science, Information Systems
Aminul Islam Khan, Min Jun Kim, Prashanta Dutta
Summary: This study investigates the classification of AAV vectors using deep learning methods. The researchers used fine-tuning based transfer learning to improve classification accuracy, achieving an average accuracy of 90-99% in three experiments. The results show that the accuracy depends on the applied electric field and the time frame used for data segmentation. The study also found that fine-tuning based transfer learning outperforms feature extraction-based classification.
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY
(2022)
Article
Robotics
Neelanga Thelasingha, A. Agung Julius, Min Jun Kim
Summary: This paper introduces a method to reduce spatial variance of microbot systems through ensemble control, using motion primitives to efficiently discretize input space and optimize control trajectories, enabling faster and more effective space exploration.
INTELLIGENT SERVICE ROBOTICS
(2022)
Article
Robotics
Yitong Lu, Haoran Zhao, Aaron T. Becker, Julien Leclerc
Summary: This study investigates methods for tracking and controlling micro/millimeter-scale magnetic robots using ultrasound for path following. The detection using ultrasound B-mode and Doppler mode, as well as an algorithm for 2.5D closed-loop control with 2D ultrasound feedback were studied and experimentally tested.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Engineering, Multidisciplinary
Anuruddha Bhattacharjee, Mehdi Jabbarzadeh, Gokhan Kararsiz, Henry C. Fu, Min Jun Kim
Summary: This paper presents the design and exploration of a bacteria-inspired soft robot that can move in highly viscous Newtonian fluids. The robot was fabricated as a tapered, hollow rod-like structure with embedded cylindrical micro-magnets for actuation. The experiments showed that the robot can perform both rolling and swimming propulsion in different locations relative to a boundary. Numerical simulations were conducted to investigate the swimming propulsion and its dependence on design parameters and fluid viscosity. The results suggest that simple geometrical asymmetry enables the robot to achieve propulsion in low Reynolds number regime.
BIOINSPIRATION & BIOMIMETICS
(2022)
Article
Robotics
Anuruddha Bhattacharjee, Yitong Lu, Aaron T. Becker, MinJun Kim
Summary: The study introduces a design of reconfigurable modular robots with high reconfigurability and controllability for mesoscale manufacturing applications. The platform can create programmable patterns through wireless control and assembly-disassembly techniques. Experimental results demonstrate robust and reproducible behavior, showing promise for mesoscale manufacturing.
IEEE TRANSACTIONS ON ROBOTICS
(2022)
Article
Chemistry, Analytical
Gokhan Kararsiz, Yasin Cagatay Duygu, Louis William Rogowski, Anuruddha Bhattacharjee, Min Jun Kim
Summary: This paper demonstrates the manipulation of snowman-shaped soft microrobots under a uniform rotating magnetic field, showing their directional controllability. Furthermore, it compares the velocity responses of microsnowmen and single alginate microrobots under the magnetic field manipulation.
Article
Biochemical Research Methods
Matthew O'Donohue, Jugal Saharia, Nuwan Bandara, Georgios Alexandrakis, Min Jun Kim
Summary: A silicon nitride-based nanopore was used to characterize the human serum transferrin receptor protein (TfR). The study showed that the presence of dimeric forms of TfR decreased exponentially with increasing applied electric field, while the unfolding behaviors of monomeric TfR were positively dependent on the applied voltage. Comparison with the ligand protein hSTf demonstrated the ability to distinguish between these two protein populations using a solid-state nanopore (SSN). The excluded volumes of TfR were experimentally determined and found to be within error of their theoretical values.
Article
Chemistry, Multidisciplinary
Jugal Saharia, Yapa Mudiyanselage Nuwan Dhananjaya Yapa Bandara, Buddini Iroshika Karawdeniya, Jason Rodger Dwyer, Min Jun Kim
Summary: Stability, long lifetime, resilience against clogging, low noise, and low cost are the key features of solid-state nanopore technology. This study presents a fabrication protocol that allows for obtaining more than 1 million events from a single solid-state nanopore. Additionally, approximately 8.1 million events were reported in this work, encompassing both DNA and protein analytes. The collected data represents a significant advancement in solid-state pore performance and has potential applications in machine learning and other fields.
Article
Chemistry, Analytical
Gokhan Kararsiz, Yasin Cagatay Duygu, Zhengguang Wang, Louis William Rogowski, Sung Jea Park, Min Jun Kim
Summary: This study investigates the motion characteristics of soft alginate microrobots in complex fluidic environments utilizing wireless magnetic fields for actuation. The aim is to explore the diverse motion modes that arise due to shear forces in viscoelastic fluids by employing snowman-shaped microrobots. Microrobots are fabricated via an extrusion-based microcentrifugal droplet method, successfully demonstrating the feasibility of both wiggling and tumbling motions. Through velocity analysis, valuable insights into the relationship between applied magnetic fields and motion characteristics are obtained, facilitating a more realistic understanding of surface locomotion for targeted drug delivery purposes while accounting for swarm dynamics and non-uniform behavior.
Article
Robotics
Yitong Lu, Anuruddha Bhattacharjee, Conlan C. Taylor, Julien Leclerc, Jason M. O'Kane, MinJun Kim, Aaron T. Becker
Summary: Reconfigurable modular robots can dynamically assemble/disassemble using magnetic fields. In this study, magnetic modular cubes with embedded permanent magnets are used to self-assemble into desired 2D polyomino shapes. A closed-loop control method is presented, using computer vision feedback and re-planning, which improves the success rate of forming user-specified polyominoes. The validity of the approach is demonstrated with different cube sizes.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Proceedings Paper
Engineering, Biomedical
Scott Renkes, Minjun Kim, George Alexandrakis
Summary: This study demonstrates the feasibility of using AC modulation of command voltage applied across a Self-induced Back Action Actuated Nanopore Electrophoresis (SANE) sensor to enhance the characterization of nanoparticles (NPs) and single molecules. By analyzing frequency response and electrical behavior, this method provides valuable insights into the charge and dielectric constant of analytes. The results show that different types of NPs exhibit distinctly different electrical responses.
PLASMONICS IN BIOLOGY AND MEDICINE XIX
(2022)
Proceedings Paper
Engineering, Biomedical
Homayoun Asadzadeh, Scott Renkes, MinJun Kim, George Alexandrakis
Summary: This work presents Multiphysics COMSOL simulations to analyze the contributions of optical and electrical forces acting on a 20 nm silica nanoparticle trapped by a plasmonic nanopore sensor. The simulations aim to understand the underlying forces and their impact on the optical-electric measurements.
PLASMONICS IN BIOLOGY AND MEDICINE XIX
(2022)
