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3D-printing advances mass spectrometry in biomedical analysis

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LabMed Discovery 2024年第1期1卷 19-31页

作者： Wei Chen Bo-chao Zhang Magdalena M.Stevanovic Lin Huang Kun Qian State Key Laboratory of Systems Medicine for Cancer School of Biomedical EngineeringInstitute of Medical Robotics and Shanghai Academy of Experimental MedicineShanghai Jiao Tong UniversityShanghai 200030China Group for Biomedical Engineering and Nanobiotechnology Institute of Technical SciencesSerbian Academy of Sciences and ArtsKneza Mihaila 35/IVBeograd 11000Serbia Department of Clinical Laboratory Medicine Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghai 200030China Institute of Thoracic Oncology Shanghai Chest HospitalShanghai Jiao Tong University School of MedicineShanghai 200030China

Mass spectrometry(MS)is an analytical technique for molecular identification and characterization,with applications spanning various scientific *** its significance,MS faces challenges in widespread adoption due to cost constraints,instrument portability issues,and complex sample handling *** recent years,3D printing has emerged as a technology across industries due to its cost-effectiveness,customization capabilities,and rapid prototyping *** review explores the integration of 3D printing with MS technology to overcome existing limitations and enhance biomedical analysis *** first categorize mainstream 3D printing methods and assess their potential in MS *** also discuss their roles in different MS categories such as liquid chromatography mass spectrometry(LCMS),gas chromatography mass spectrometry(GCMS),ambient ionization mass spectrometry(AIMS),and matrix-assisted laser desorption/ionization MS(MALDI MS)in biomedical ***,we highlight the current challenges and future research directions for advancing 3D printing-assisted mass spectrometry,emphasizing its role in enabling portable,costeffective,and customized MS solutions for biomedical analysis.

关键词： 3D-printing Mass spectrometry Liquid chromatography mass spectrometry (LCMS) Gas chromatograpgy(GCMS) Ambient ionization mass spectrometry(AIMS)

Constant Direct Current Triboelectric Nanogenerator Based on Soft-Contact Mode for Self-Powered Cathodic Protection

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SSRN

SSRN 2022年

作者： Li, Ming Jiang, Tianyi Ren, Yukun Jiang, Hongyuan School of Mechatronics Engineering Harbin Institute of Technology West Da-zhi Street 92 Harbin150001 China State Key Laboratory of Robotics and System Harbin Institute of Technology West Da-zhi Street 92 Heilongjiang Harbin150001 China

Triboelectric nanogenerator (TENG) has been proved to be a promising technology for harvesting decentralized energy. However, the application fields of the traditional TENGs are limited by the high crest factor. Here a constant direct current TENG (CDC-TENG) with low crest factor is proposed by connecting three rotating TENGs with specific phase difference (Δ θ ) in parallel. Excellent wear resistance and humidity resistance are demonstrated owing to the soft-contact mode and 3D encapsulated design. For the CDC-TENG (3P6E), the crest factor surprisingly decreases to 1.05 while that of the TENGs without Δ θ is up to 1.31. Meanwhile, the current density up to 3021 μA·m -2 is achieved at the rotation speed of 500 r·min -1 . Then, owing to the excellent output of constant direct current (DC), a commercial timer is directly driven by the CDC-TENG without using capacitor. Finally, the CDC-TENG is used as the power source of cathodic protection (CP) system, which exhibits an excellent corrosion protection effect. In general, this work provides a meaningful template for TENGs to broaden the marine industrial applications of constant DC demand. © 2022, The Authors. All rights reserved.

关键词： Nanogenerators

Fundamental insights into Brønsted acid-induced adduction improve small metabolite profiling in mass spectrometry

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Chemical engineering Journal 2025年 515卷

作者： Liu, Wanshan Chen, Wei Li, Yanyan Yang, Shouzhi Cao, Jing Wu, Jiao Huang, Yida Wang, Ruimin Chen, Xiaonan Huang, Lin Wang, Jiayi Qian, Kun Wan, Jingjing State Key Laboratory of Systems Medicine for Cancer School of Biomedical Engineering Institute of Medical Robotics and Shanghai Academy of Experimental Medicine Shanghai Jiao Tong University Shanghai200030 China Division of Cardiology Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai200127 China School of Chemistry and Molecular Engineering East China Normal University Shanghai200241 China Department of Clinical Laboratory Medicine Shanghai Institute of Thoracic Oncology Shanghai Chest Hospital Shanghai Jiao Tong University Shanghai200030 China

Mass spectrometry (MS) is the primary tool to detect small metabolite ions for profiling bio-systems. However, small metabolite profiling in MS still needs to be improved and calls for new rules in ionization. Herein, we studied the Brønsted acid-induced multiple alkali metal cation adductions (BAI-mAMCA) in laser desorption/ionization MS, with annotation of BAI-mAMCA in complex bio-samples and improved profiling of small metabolites. Firstly, we engineered the enhanced mAMCA (relative intensities increased from 0.1–4.6 % to 76.1–89.9 %, p 2 = 0.989–0.997, p © 2025

关键词： Metabolites

PEBO-SLAM: Observer Design for Visual Inertial SLAM with Convergence Guarantees

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arXiv 2023年

作者： Yi, Bowen Jin, Chi Wang, Lei Shi, Guodong Ila, Viorela Manchester, Ian R. The Australian Centre for Robotics School of Aerospace Mechanical and Mechatronic Engineering The University of Sydney SydneyNSW2006 Australia The TuSimple Inc. Liangmaqiao Road Beijing China State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou310027 China

This paper introduces a new linear parameterization to the problem of visual inertial simultaneous localization and mapping (VI-SLAM)—without any approximation—for the case only using information from a single monocular camera and an inertial measurement unit. In this problem set, the system state evolves on the nonlinear manifold SE(3)×3n, on which we design dynamic extensions carefully to generate invariant foliations, such that the problem can be reformulated into online constant parameter identification, then interestingly with linear regression models obtained. It demonstrates that VI-SLAM can be translated into a linear least squares problem, in the deterministic sense, globally and exactly. Based on this observation, we propose a novel SLAM observer, following the recently established parameter estimation-based observer (PEBO) methodology. A notable merit is that the proposed observer enjoys almost global asymptotic stability, requiring neither persistency of excitation nor uniform complete observability, which, however, are widely adopted in most existing works with provable stability but can hardly be assured in many practical scenarios. © 2023, CC BY.

关键词： Parameter estimation

Tension Analysis of Small Motor Stator Winding Tensioning Process

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Tension Analysis of Small Motor Stator Winding Tensioning Pr...

作者： Zhao, Yanling Zhang, Zhao Xiang, Jingzhong Bao, Yudong State Key Laboratory of Robotics and Systems Harbin150080 China School of Mechanical and Power Engineering Harbin University of Science and Technology Harbin150080 China

In view of the small motor stator winding due to the size of the tension on the enameled wire is different, so that the winding tightness is different and lead to enameled wire damage or motor can not be used normally. Through the establishment of the tension model of the tensioning process, the stress of each layer of enameled wire during tensioning is analyzed, which involves the mechanical theory of tensioning process and the theory of thick-walled thin cylinder. According to this theory, the mechanical behavior of the enameled wire during the tensioning process is studied, the influence of tension on the radial stress and hoop stress of the special point and the variation law are obtained. After simulation and experiment, the results show that the tension and the number of winding layers have different effects on the radial and hoop stress of the special points. Applying reasonable tension can effectively ensure the normal operation of the motor and greatly increase its reliability. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Winding

Joint Counting, Detection and Re-Identification for Multi-Object Tracking

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arXiv 2022年

作者： Ren, Weihong Wu, Denglu Cao, Hui Chen, Xi'ai Han, Zhi Liu, Honghai The School of Mechanical Engineering and Automation State Key Lab of Robotics and Systems Harbin Institute of Technology Shenzhen518055 China The Shenzhen Duorou Intelligent System Co. Ltd. Shenzhen518055 China The School of Electrical Engineering Xi’an Jiaotong University Xi’an710049 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Science Beijing110169 China

The recent trend in 2D multiple object tracking (MOT) is jointly solving detection and tracking, where object detection and appearance feature (or motion) are learned simultaneously. Despite competitive performance, in crowded scenes, joint detection and tracking usually fail to find accurate object associations due to missed or false detections. In this paper, we jointly model counting, detection and re-identification in an end-to-end framework, named CountingMOT, tailored for crowded scenes. By imposing mutual object-count constraints between detection and counting, the CountingMOT tries to find a balance between object detection and crowd density map estimation, which can help it to recover missed detections or reject false detections. Our approach is an attempt to bridge the gap of object detection, counting, and re-Identification. This is in contrast to prior MOT methods that either ignore the crowd density and thus are prone to failure in crowded scenes, or depend on local correlations to build a graphical relationship for matching targets. The proposed MOT tracker can perform online and real-time tracking, and achieves the state-of-the-art results on public benchmarks MOT16 (MOTA of 79.7%), MOT17 (MOTA of 81.3%) and MOT20 (MOTA of 78.9%). Source code is available at https://***/weihong9/CountingMOT. Copyright © 2022, The Authors. All rights reserved.

关键词： Object detection

Modeling Spoof Noise by De-spoofing Diffusion and its Application in Face Anti-spoofing

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arXiv 2024年

作者： Zhang, Bin Zhu, Xiangyu Zhang, Xiaoyu Lei, Zhen Institute of Information Engineering Chinese Academy of Sciences China School of Cyber Security University of Chinese Academy of Sciences China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences China School of Artificial Intelligence University of Chinese Academy of Sciences China Centre for Artificial Intelligence and Robotics Hong Kong Institute of Science & Innovation Chinese Academy of Sciences China

Face anti-spoofing is crucial for ensuring the security and reliability of face recognition systems. Several existing face anti-spoofing methods utilize GAN-like networks to detect presentation attacks by estimating the noise pattern of a spoof image and recovering the corresponding genuine image. But GAN’s limited face appearance space results in the denoised faces cannot cover the full data distribution of genuine faces, thereby undermining the generalization performance of such methods. In this work, we present a pioneering attempt to employ diffusion models to denoise a spoof image and restore the genuine image. The difference between these two images is considered as the spoof noise, which can serve as a discriminative cue for face anti-spoofing. We evaluate our proposed method on several intra-testing and inter-testing protocols, where the experimental results showcase the effectiveness of our method in achieving competitive performance in terms of both accuracy and generalization. Copyright © 2024, The Authors. All rights reserved.

关键词： Face recognition

MTPA-based Haptic Feedback Controller for Master Manipulator in Minimally Invasive Surgery

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MTPA-based Haptic Feedback Controller for Master Manipulator...

IEEE International Conference on robotics and Biomimetics

作者： Wenda Zhao Jian Chen Yilun Hong Hongbin Liu State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Centre for Artificial Intelligence and Robotics Hong Kong Institute of Science and Innovation Chinese Academy of Sciences Hong Kong China School of Biomedical Engineering and Imaging Sciences King's College London London UK

ISBN: (数字)9798331509644

ISBN: (纸本)9798331509651

Haptic feedback is critical for teleoperation in surgical robots, particularly in Natural Orifice Transluminal Endoscopic Surgery (NOTES). This paper introduces a haptic controller designed to enhance force generation efficiency and resolution, surpassing traditional motor control frameworks. We propose a Maximum Torque Per Ampere (MTPA)-based Field-Oriented Control (FoC) strategy for haptic kinesthetic feedback controller, optimizing the performance of a master manipulator's joint with a brushless DC (BLDC) motor under stalled and ultra-slow conditions. This approach enables a master manipulator with three degrees of freedom (DoF) for force feedback. Its effectiveness is validated through simulator and surgical trials, demonstrating improved haptic feedback in surgical applications.

关键词： Motor drives Torque Minimally invasive surgery Medical robotics Force feedback Orifices Manipulators Motors Haptic interfaces Adaptive control

Catch Planner: Catching High-Speed Targets in the Flight

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arXiv 2023年

作者： Yu, Huan Wang, Pengqin Wang, Jin Ji, Jialin Zheng, Zhi Tu, Jie Lu, Guodong Meng, Jun Zhu, Meixin Shen, Shaojie Gao, Fei The State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou310027 China The Engineering Research Center for Design Engineering and Digital Twin of Zhejiang Province School of Mechanical Engineering Zhejiang University Hangzhou310027 China Robotics Institute of Zhejiang University Hangzhou310027 China Hong Kong The State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China Huzhou Institute of Zhejiang University Huzhou313000 China School of Electrical Engineering Zhejiang University Hangzhou310027 China The Hong Kong University of Science and Technology Guangzhou China

Catching high-speed targets in the flight is a complex and typical highly dynamic task. However, existing methods require manual setting of catching height or time, resulting in lacks of adaptability and flexibility and cannot deal with multiple targets. To bridge this gap, we propose a planning-with-decision scheme called Catch Planner. For sequential decision making, a lightweight policy search method based on deep reinforcement learning is proposed. It is jointly trained with the motion planning and decoupled from physics to speed up training. For motion planning, we propose a trajectory optimization method that jointly optimizes the highly coupled catching time and terminal state. The core is the flexible-terminal constraint transcription. It converts the three unique constraints of catching into differentiable metrics, including equality constraints for terminal position and time, and inequality constraints that enable reasonable terminal position offset and attitude relaxation. In addition, sparse parameterization based on MINCO class considers both dynamic feasibility and collision avoidance constraints. As a result, a generally constrained quadrotor planning problem is transformed into an unconstrained optimization that can be solved reliably and efficiently. We also propose an online iterative optimization method for predicting differentiable trajectories of targets. Catch Planner provides a new paradigm for the combination of learning and planning, where all algorithms can be run in real time onboard at 100hz. Extensive experiments are carried out in real-world and simulated scenes to verify the robustness and expansibility when facing a variety of high-speed flying targets. Copyright © 2023, The Authors. All rights reserved.

关键词： Decision making