4.8 Article

Manufacturing of a Hybrid Acoustic Transmitter Using an Advanced Microassembly System

期刊

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
卷 56, 期 7, 页码 2657-2666

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2009.2021173

关键词

Acoustic tracking; hybrid MEMS; microassembly; ultrasound

向作者/读者索取更多资源

Advances in both capabilities and miniaturization of medical devices offer promising prospects for medical treatments. Applications range from simple diagnosis to complex treatment tools. Miniature untethered robotic devices are playing a central role within this growing trend, and devices are becoming available on the market. However, one of the biggest challenges is the localization of these devices within the human body in order to close the control loop. This paper presents the design and fabrication of a novel device for localization based on acoustic transducers. The individual microfabricated MEMS components are assembled using a state-of-the-art 6-DOF micromanipulation system in order to meet the high-precision requirements. First position determination experiments have successfully proven the concept with results on the order of submillimeters.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Nanoscience & Nanotechnology

Inkjet-Assisted Electroformation of Magnetically Guidable Water Striders for Interfacial Microfluidic Manipulation

Roberto Bernasconi, Davide Carniani, Min-Soo Kim, Salvador Pane, Luca Magagnin

Summary: This paper describes the realization of artificial water striders using an inkjet-assisted electroforming approach. The striders are propelled by externally applied magnetic fields, and they show good maneuverability at different fluid interfaces. The research is significant for the development of microdevices capable of navigating various liquid environments.

ACS APPLIED MATERIALS & INTERFACES (2023)

Article Engineering, Electrical & Electronic

Gradiometer-Based Magnetic Localization for Medical Tools

Cedric Fischer, Thomas Quirin, Christophe Chautems, Quentin Boehler, Joris Pascal, Bradley J. Nelson

Summary: Remote magnetic navigation (RMN) allows for precise and accurate wireless steering of magnetic catheters through complex structures. This study proposes a localization method that uses multiple Hall sensors to measure the magnetic fields produced by the magnetic navigation systems (MNSs) and estimate the full sensor pose. The results provide insights into the minimal requirements for an MNS in terms of localization accuracy.

IEEE TRANSACTIONS ON MAGNETICS (2023)

Correction Thermodynamics

Ranking parameters in urban energy models for various building forms and climates using sensitivity analysis (Dec, 10.1007/s12273-022-0961-5, 2022)

Aysegul Demir Dilsiz, Kaitlynn Ng, Jerome Kampf, Zoltan Nagy

BUILDING SIMULATION (2023)

Article Chemistry, Multidisciplinary

In Situ Sprayed Nanovaccine Suppressing Exosomal PD-L1 by Golgi Apparatus Disorganization for Postsurgical Melanoma Immunotherapy

Hao Ye, Kaiyuan Wang, Jian Zhao, Qi Lu, Menglin Wang, Bingjun Sun, Yang Shen, Hongchen Liu, Salvador Pane, Xiang-Zhong Chen, Zhonggui He, Jin Sun

Summary: The use of Golgi apparatus-Pd-l1 (-/-) exosome hybrid membrane coated nanoparticles (GENPs) can significantly reduce the secretion of PD-L1, leading to reduced tumor relapse rates. GENPs accumulate in tumors and disrupt PD-L1 production and exosome release through induction of intracellular events. Furthermore, they can mimic exosomes to activate T cells and promote systemic immune responses.

ACS NANO (2023)

Review Chemistry, Multidisciplinary

Shape Memory Alloy (SMA) Actuators: The Role of Material, Form, and Scaling Effects

Min-Soo Kim, Jae-Kyung Heo, Hugo Rodrigue, Hyun-Taek Lee, Salvador Pane, Min-Woo Han, Sung-Hoon Ahn

Summary: Shape memory alloys (SMAs) are smart materials with high energy density, actuation strain, and biocompatibility characteristics, which are widely used in intelligent devices. This article summarizes the state-of-the-art thermal and magnetic SMA actuators, including their constituent materials, form, scaling effects, surface treatments, and functionalities. The motion performance of various SMA architectures is also analyzed. Current challenges and suggestions for advancing SMAs by considering material, form, and scale effects are emphasized.

ADVANCED MATERIALS (2023)

Article Robotics

On the Workspace of Electromagnetic Navigation Systems

Quentin Boehler, Simone Gervasoni, Samuel L. Charreyron, Christophe Chautems, Bradley J. Nelson

Summary: This article discusses the use of magnetic navigation systems in remote magnetic navigation to steer magnetic objects. The design, workspace definition, measurement methodology, and evaluation metrics of these systems are explored and illustrated with examples.

IEEE TRANSACTIONS ON ROBOTICS (2023)

Article Chemistry, Physical

Can We Rationally Design and Operate Spatial Atomic Layer Deposition Systems for Steering the Growth Regime of Thin Films?

Joao Pedro Vale, Abderrahime Sekkat, Thomas Gheorghin, Semih Sevim, Eirini Mavromanolaki, Andreas D. Flouris, Salvador Pane, David Munoz-Rojas, Josep Puigmarti-Luis, Tiago Sotto Mayor

Summary: Spatial atomic layer deposition (SALD) is a thin-film deposition technique that allows precise control over film growth without the need for vacuum. Through numerical simulation, design maps and a predictive equation were developed to predict the growth regime of SALD systems under different conditions. This provides researchers with a convenient way to design, operate, and optimize SALD systems.

JOURNAL OF PHYSICAL CHEMISTRY C (2023)

Article Chemistry, Multidisciplinary

Magnetically Enhanced Intracellular Uptake of Superparamagnetic Iron Oxide Nanoparticles for Antitumor Therapy

Junhee Choi, Dong-In Kim, Jin-Young Kim, Salvador Pane, Bradley J. Nelson, Young-Tae Chang, Hongsoo Choi

Summary: This study investigated the enhancement of intracellular uptake of superparamagnetic iron oxide nanoparticles (SPIONs) through the use of rotating magnetic fields (RMFs). The physical parameters for favorable chain length for intracellular uptake were predicted and validated. The study also showed that enhanced intracellular uptake reduced magnetic hyperthermia time and strength, as well as particle concentration.

ACS NANO (2023)

Review Chemistry, Multidisciplinary

Challenges and Strategies for Optimizing Corrosion and Biodegradation Stability of Biomedical Micro- and Nanoswimmers: A Review

Ehsan Rahimi, Roger Sanchis-Gual, Xiangzhong Chen, Amin Imani, Yaiza Gonzalez-Garcia, Edouard Asselin, Arjan Mol, Lorenzo Fedrizzi, Salvador Pane, Maria Lekka

Summary: The emergence of micro- and nanoswimmers (MNSs) in the past two decades has led to extensive research in engineering motile micro- and nanodevices for minimally invasive medicine. However, the degradation of MNSs in human physiological media is often overlooked. This review summarizes recent studies on the corrosion and biodegradation of MNSs, with a focus on metal-based devices, as well as strategies to enhance their stability.

ADVANCED FUNCTIONAL MATERIALS (2023)

Article Energy & Fuels

MERLIN: Multi-agent offline and transfer learning for occupant-centric operation of grid-interactive communities

Kingsley Nweye, Siva Sankaranarayanan, Zoltan Nagy

Summary: Building and power generation decarbonization pose challenges to electric grid reliability. Grid-interactive efficient buildings can provide grid flexibility services through demand response. Reinforcement learning is suitable for energy management in such buildings, but its adoption is hindered by sample inefficiency, control security, and generalizability. In this study, we propose the MERLIN framework to address these challenges and demonstrate its effectiveness using real-world data.

APPLIED ENERGY (2023)

Review Energy & Fuels

Data-driven key performance indicators and datasets for building energy flexibility: A review and perspectives

Han Li, Hicham Johra, Flavia de Andrade Pereira, Tianzhen Hong, Jerome Le Dreau, Anthony Maturo, Mingjun Wei, Yapan Liu, Ali Saberi-Derakhtenjani, Zoltan Nagy, Anna Marszal-Pomianowska, Donal Finn, Shohei Miyata, Kathryn Kaspar, Kingsley Nweye, Zheng O'Neill, Fabiano Pallonetto, Bing Dong

Summary: Energy flexibility is important for balancing the fluctuating supply and demand in energy grids. This paper provides a review of data-driven energy flexibility key performance indicators (KPIs) for buildings and open datasets for testing these KPIs. The review identifies 48 KPIs from recent publications and evaluates 16 datasets suitable for demand response or building-to-grid services. Future opportunities include developing new methodologies, baseline-free KPIs, promoting standardization, and curating datasets for energy flexibility assessment.

APPLIED ENERGY (2023)

Article Pharmacology & Pharmacy

Site-specific PEGylation of recombinant tissue-type plasminogen activator

Kirstin Meiners, Prisca Hamm, Marcus Gutmann, Jan Niedens, Agnieszka Nowak-Krol, Salvador Pane, Tessa Luehmann

Summary: The study developed three polyethylene glycol (PEG)ylated tPA bioconjugates based on the recombinant human tPA drug Alteplase using site-specific conjugation strategies. These bioconjugates showed improved proteolytic activity, slower inhibition kinetics by PAI-1, and increased hydrodynamic size.

EUROPEAN JOURNAL OF PHARMACEUTICS AND BIOPHARMACEUTICS (2023)

Proceedings Paper Automation & Control Systems

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems

Truong X. Nghiem, Jan Drgona, Colin Jones, Zoltan Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel A. Paulson, Andrea Carron, Melanie N. Zeilinger, Wenceslao Shaw Cortez, Draguna L. Vrabie

Summary: Physics-informed machine learning (PIML) is a set of methods and tools that integrate machine learning algorithms with physical constraints and mathematical models developed in scientific and engineering domains. By incorporating physical laws and constraints, PIML models can be more effective and data-efficient compared to purely data-driven methods. This paper provides an overview of recent advances in PIML for dynamical system modeling and control, covering topics such as system identification, control, analysis, and digital twins.

2023 AMERICAN CONTROL CONFERENCE, ACC (2023)

Article Plant Sciences

Preliminary data on the frequency and distribution of Hungarian bryophytes, based on 'recent' (1974-2022) records

Peter Erzberger, Janos Csiky, Kornel Barath, Abel Beranek, Judit Deme, Gabriella Fintha, Gusztav Jakab, Gabor Matus, Attila Mesterhazy, Jozsef Nagy, Zoltan Nagy, Csaba Nemeth, Tamas Pocs, David Schmidt, Andras Schmotzer, Peter Szucs, Matyas Wolf, Beata Papp

Summary: This study presents preliminary findings on the current frequency and geographical distribution of bryophytes in Hungary, revealing a total of 698 taxa. The results indicate a positive correlation between elevational range and surveyed area with bryophyte richness, while arable land cover showed a negative correlation.

JOURNAL OF BRYOLOGY (2023)

Article Chemistry, Multidisciplinary

The magnetopyroelectric effect: heat-mediated magnetoelectricity in magnetic nanoparticle-ferroelectric polymer composites

Joaquin Llacer-Wintle, Jan Renz, Lukas Hertle, Andrea Veciana, Denis von Arx, Jiang Wu, Pere Bruna, Marija Vukomanovic, Josep Puigmarti-Luis, Bradley J. Nelson, Xiang-Zhong Chen, Salvador Pane

Summary: Magnetoelectricity allows solid-state materials to generate electricity under magnetic fields. A new magnetopyroelectric (MPE) effect is demonstrated in nanostructured composites of magnetic and pyroelectric materials. The composites consist of magnetic iron oxide nanoparticles dispersed in a ferroelectric poly(vinylidene fluoride-trifluoroethylene) (P(VDF-TrFE)) matrix. This new approach provides an opportunity to develop magnetoelectric materials for various applications.

MATERIALS HORIZONS (2023)

暂无数据