Cyborg and bionic systems (Washington, D.C.)最新文献_第8页

Advanced Microrobots Driven by Acoustic and Magnetic Fields for Biomedical Applications. 用于生物医学应用的声磁场驱动的先进微型机器人。

IF 18.1

Cyborg and bionic systems (Washington, D.C.) Pub Date : 2025-11-10 eCollection Date: 2025-01-01 DOI: 10.34133/cbsystems.0386

Tingting Wang, Zhuo Chen, Qiang Huang, Tatsuo Arai, Xiaoming Liu

{"title":"Advanced Microrobots Driven by Acoustic and Magnetic Fields for Biomedical Applications.","authors":"Tingting Wang, Zhuo Chen, Qiang Huang, Tatsuo Arai, Xiaoming Liu","doi":"10.34133/cbsystems.0386","DOIUrl":"10.34133/cbsystems.0386","url":null,"abstract":"Microrobots driven by magnetic and acoustic fields have shown great potential in multiple biomedical applications due to their excellent biocompatibility, wireless actuation, access to confined environments, and tissue penetration. A single physical actuation method often meets inevitable limitations and complications, such as the limited propulsion of the magnetic actuation and difficult direction control of the acoustic actuation. This review summarizes the current progress of hybrid magneto-acoustic actuation to address the limitations of single magnetic or acoustic actuation. First, we review the research on microrobots driven by single magnetic and acoustic fields and clarify the properties of each physical actuation. Then, we summarize 2 forms of hybrid magnetic-acoustic actuation: (a) magnetic steering and acoustic propulsion and (b) magnetic propulsion and acoustic manipulation. The state-of-the-art applications of magneto-acoustic microrobots, including targeted drug delivery, minimally invasive surgery, and medical imaging, are presented to demonstrate their great potential in biology and clinics. This article finally discusses current challenges and potential developments in magneto-acoustic robotics to provide a reliable path for designing and applying hybrid magneto-acoustic actuation methods.","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"6 ","pages":"0386"},"PeriodicalIF":18.1,"publicationDate":"2025-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12598759/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145497200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MEA-Based Graph Deviation Network for Early Autism Syndrome Signatures in Human Forebrain Organoids. 基于mea的人类前脑类器官早期自闭症特征图偏差网络。

IF 18.1

Cyborg and bionic systems (Washington, D.C.) Pub Date : 2025-11-06 eCollection Date: 2025-01-01 DOI: 10.34133/cbsystems.0441

Arianna Mencattini, Giorgia Curci, Alessia Riccardi, Paola Casti, Michele D'Orazio, Joanna Filippi, Gianni Antonelli, Erica Debbi, Elena Daprati, Wendiao Zhang, Qingtuan Meng, Eugenio Martinelli

{"title":"MEA-Based Graph Deviation Network for Early Autism Syndrome Signatures in Human Forebrain Organoids.","authors":"Arianna Mencattini, Giorgia Curci, Alessia Riccardi, Paola Casti, Michele D'Orazio, Joanna Filippi, Gianni Antonelli, Erica Debbi, Elena Daprati, Wendiao Zhang, Qingtuan Meng, Eugenio Martinelli","doi":"10.34133/cbsystems.0441","DOIUrl":"10.34133/cbsystems.0441","url":null,"abstract":"Multi-electrode arrays (MEAs) are a key enabling technology in the development of cybernetic systems, as they provide a means to understand and control the activity of neural populations linking brain microtissue dynamics with electronic systems. MEAs allow high-resolution, noninvasive recordings of neuronal activity, creating a powerful interface for investigating in vitro brain development and dysfunction. In this work, we introduce a novel deep learning framework based on a graph deviation network (GDN) to analyze spiking activity from human forebrain organoids (hFOs) and predict network-level alterations associated with autism spectrum disorder (ASD) risk. Our method extends traditional spike and burst analysis by encoding amplitude-modulated spike trains as dynamic graphs, enabling the extraction of meaningful topological descriptors. These graph-based features are then processed to detect deviations in network organization induced by neurodevelopmental perturbations. As proof of concept, we examine the impact of valproic acid (VPA), a known environmental ASD risk factor. VPA disrupts synaptic signaling in hFOs, reducing efficiency, increasing path length, and decreasing input connectivity. Despite biological variability, the GDN consistently detects early dysfunction within 24 h post-exposure and captures transient millisecond-level events. This supports MEA-coupled hFOs as predictive platforms for ASD risk assessment and real-time neurotoxicity screening.","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"6 ","pages":"0441"},"PeriodicalIF":18.1,"publicationDate":"2025-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12589769/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145483978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Carrier-Free Peptide-Daunorubicin-Small Interfering RNA Nanoassembly for Targeted Therapy of Acute Myeloid Leukemia. 无载体肽-柔红霉素小干扰RNA纳米组装靶向治疗急性髓性白血病。

IF 18.1

Cyborg and bionic systems (Washington, D.C.) Pub Date : 2025-11-05 eCollection Date: 2025-01-01 DOI: 10.34133/cbsystems.0436

Haiyin Yang, Xi Yu, Zhitong Guo, Songxuan Shi, Jie Wang, Shuai Guo, Bo Hu, Meihong Chai, Zhuoran Wang, Stefan Barth, Kelong Fan, Huining He, Mengjie Zhang, Yuanyu Huang

{"title":"Carrier-Free Peptide-Daunorubicin-Small Interfering RNA Nanoassembly for Targeted Therapy of Acute Myeloid Leukemia.","authors":"Haiyin Yang, Xi Yu, Zhitong Guo, Songxuan Shi, Jie Wang, Shuai Guo, Bo Hu, Meihong Chai, Zhuoran Wang, Stefan Barth, Kelong Fan, Huining He, Mengjie Zhang, Yuanyu Huang","doi":"10.34133/cbsystems.0436","DOIUrl":"10.34133/cbsystems.0436","url":null,"abstract":"Acute myeloid leukemia (AML) continues to represent a substantial unmet therapeutic need in clinical practice. In recent years, peptide-drug conjugates and small interfering RNA (siRNA) drugs have gained considerable attention due to their impressive clinical progress in treating various diseases. In this study, we designed a carrier-free \"3-in-1\" peptide-daunorubicin-siRNA (PDR) nanoassembly, which combines a cell-penetrating and tumor-suppressing peptide, a daunorubicin (DNR) prodrug, and siRNA targeting the LILRB4 gene. After optimizing the molar ratio among peptide, DNR prodrug, and siRNA, we identified the most potent PDR formulation, which exhibited excellent intracellular uptake efficiency, primarily through caveolin-mediated endocytosis, in THP-1 cells. The pH-responsive bond in the DNR prodrug facilitated the endosomal escape of siRNA, leading to significant gene repression of LILRB4. Additionally, the tumor-suppressing peptide p16MIS effectively inhibited the transition of cells from the S phase to the G2/M phase and induced apoptosis. In a leukemia mouse model, PDR efficiently suppressed leukemia cell invasion, prolonged survival, and reduced leukemia cell infiltration in the bone marrow. Notably, silencing LILRB4 not only promoted T cell maturation in spleen and lymph nodes but also enhanced T cell infiltration in tumor tissues. This study offered a highly promising therapeutic strategy for AML and other diseases.","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"6 ","pages":"0436"},"PeriodicalIF":18.1,"publicationDate":"2025-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12586850/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145460790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Magnetically Actuated Soft Electrodes for Multisite Bioelectrical Monitoring of Ex Vivo Tissues. 磁致软电极用于离体组织的多位点生物电监测。

IF 18.1

Cyborg and bionic systems (Washington, D.C.) Pub Date : 2025-10-24 eCollection Date: 2025-01-01 DOI: 10.34133/cbsystems.0434

Qianbi Peng, Jianping Huang, Chenyang Li, Mingguo Jiang, Chenyang Huang, Jinxin Luo, Hanfei Li, Ting Yin, Mingxue Cai, Shixiong Fu, Guoyao Ma, Zhiyuan Liu, Tiantian Xu

{"title":"Magnetically Actuated Soft Electrodes for Multisite Bioelectrical Monitoring of Ex Vivo Tissues.","authors":"Qianbi Peng, Jianping Huang, Chenyang Li, Mingguo Jiang, Chenyang Huang, Jinxin Luo, Hanfei Li, Ting Yin, Mingxue Cai, Shixiong Fu, Guoyao Ma, Zhiyuan Liu, Tiantian Xu","doi":"10.34133/cbsystems.0434","DOIUrl":"10.34133/cbsystems.0434","url":null,"abstract":"Multisite electrophysiological monitoring of ex vivo tissues and organ models is essential for basic research and drug toxicity evaluation. However, conventional microelectrode arrays with fixed positions and rigid structures are insufficient for dynamic, curved tissue surfaces. Here, we present a magnetically actuated soft electrode (MSE) with precise navigation, adaptive attachment, and high-fidelity signal acquisition. Operating in a \"locate-adhere-record-detach\" cycle, the MSE enabled continuous multisite detection on beating ex vivo tissues. In isolated rat heart experiments, the MSE demonstrated millimeter-level navigation accuracy, stable contact, and high signal-to-noise ratio (average 28 dB). By integrating magnetic locomotion with electrophysiological sensing, this work establishes a programmable, actively addressable platform for multisite electrophysiological monitoring of organ models, tissue slices, and engineered constructs, offering broad potential for cardiotoxicity screening and cardiovascular research.","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"6 ","pages":"0434"},"PeriodicalIF":18.1,"publicationDate":"2025-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12550281/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145373349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrated Piezoelectric Vibration and In Situ Force Sensing for Low-Trauma Tissue Penetration. 集成压电振动和原位力传感的低创伤组织穿透。

IF 18.1

Cyborg and bionic systems (Washington, D.C.) Pub Date : 2025-10-21 eCollection Date: 2025-01-01 DOI: 10.34133/cbsystems.0417

Bingze He, Yao Guo, Guangzhong Yang

{"title":"Integrated Piezoelectric Vibration and In Situ Force Sensing for Low-Trauma Tissue Penetration.","authors":"Bingze He, Yao Guo, Guangzhong Yang","doi":"10.34133/cbsystems.0417","DOIUrl":"10.34133/cbsystems.0417","url":null,"abstract":"Precision-controlled microscale manipulation tasks-including neural probe implantation, ophthalmic surgery, and cell membrane puncture-often involve minimally invasive membrane penetration techniques with real-time force feedback to minimize tissue trauma. This imposes rigorous design requirements on the corresponding miniaturized instruments with robotic assistance. This paper proposes an integrated piezoelectric module (IPEM) that combines high-frequency vibration-assisted penetration with real-time in situ force sensing. The IPEM features a compact piezoelectric actuator integrated with a central tungsten probe, generating axial micro-vibration (4,652 Hz) to enable smooth tissue penetration while simultaneously measuring contact and penetration forces via the piezoelectric effect. Extensive experiments were conducted to validate the effectiveness and efficacy of the proposed IPEM. Both static and dynamic force-sensing tests demonstrate the linearity, sensitivity (9.3 mV/mN), and accuracy (mean absolute error < 0.3 mN, mean absolute percentage error < 1%) of the embedded sensing unit. In gelatin phantom tests, the module reduced puncture and insertion forces upon activation of vibration. In vivo experiments in mouse brains further confirmed that the system could reduce penetration resistance (from an average of 11.67 mN without vibration to 7.8 mN with vibration, decreased by 33%) through the pia mater and accurately mimic the electrode implantation-detachment sequence, leaving a flexible electrode embedded with minimal trauma. This work establishes a new paradigm for smart surgical instruments by integrating a compact actuator-sensor design with real-time in situ force feedback capabilities, with immediate applications in brain-machine interfaces and microsurgical robotics.","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"6 ","pages":"0417"},"PeriodicalIF":18.1,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12538090/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145350342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Neuroanatomy-Informed Brain-Machine Hybrid Intelligence for Robust Acoustic Target Detection. 基于神经解剖学的脑机混合智能鲁棒声目标检测。

IF 18.1

Cyborg and bionic systems (Washington, D.C.) Pub Date : 2025-10-17 eCollection Date: 2025-01-01 DOI: 10.34133/cbsystems.0438

Jianting Shi, Jiaqi Wang, Weijie Fei, Aberham Genetu Feleke, Luzheng Bi

{"title":"Neuroanatomy-Informed Brain-Machine Hybrid Intelligence for Robust Acoustic Target Detection.","authors":"Jianting Shi, Jiaqi Wang, Weijie Fei, Aberham Genetu Feleke, Luzheng Bi","doi":"10.34133/cbsystems.0438","DOIUrl":"10.34133/cbsystems.0438","url":null,"abstract":"Sound target detection (STD) plays a critical role in modern acoustic sensing systems. However, existing automated STD methods show poor robustness and limited generalization, especially under low signal-to-noise ratio (SNR) conditions or when processing previously unencountered sound categories. To overcome these limitations, we first propose a brain-computer interface (BCI)-based STD method that utilizes neural responses to auditory stimuli. Our approach features the Triple-Region Spatiotemporal Dynamics Attention Network (Tri-SDANet), an electroencephalogram (EEG) decoding model incorporating neuroanatomical priors derived from EEG source analysis to enhance decoding accuracy and provide interpretability in complex auditory scenes. Recognizing the inherent limitations of stand-alone BCI systems (notably their high false alarm rates), we further develop an adaptive confidence-based brain-machine fusion strategy that intelligently combines decisions from both the BCI and conventional acoustic detection models. This hybrid approach effectively merges the complementary strengths of neural perception and acoustic feature learning. We validate the proposed method through experiments with 16 participants. Experimental results demonstrate that the Tri-SDANet achieves state-of-the-art performance in neural decoding under complex acoustic conditions. Moreover, the hybrid system maintains reliable detection performance at low SNR levels while exhibiting remarkable generalization to unseen target classes. In addition, source-level EEG analysis reveals distinct brain activation patterns associated with target perception, offering neuroscientific validation for our model design. This work pioneers a neuro-acoustic fusion paradigm for robust STD, offering a generalizable solution for real-world applications through the integration of noninvasive neural signals with artificial intelligence.","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"6 ","pages":"0438"},"PeriodicalIF":18.1,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12531490/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145330972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Augmenting Electroencephalogram Transformer for Steady-State Visually Evoked Potential-Based Brain-Computer Interfaces. 基于视觉诱发电位稳态脑机接口的增强型脑电图变压器。

IF 18.1

Cyborg and bionic systems (Washington, D.C.) Pub Date : 2025-10-07 eCollection Date: 2025-01-01 DOI: 10.34133/cbsystems.0379

Jin Yue, Xiaolin Xiao, Kun Wang, Weibo Yi, Tzyy-Ping Jung, Minpeng Xu, Dong Ming

{"title":"Augmenting Electroencephalogram Transformer for Steady-State Visually Evoked Potential-Based Brain-Computer Interfaces.","authors":"Jin Yue, Xiaolin Xiao, Kun Wang, Weibo Yi, Tzyy-Ping Jung, Minpeng Xu, Dong Ming","doi":"10.34133/cbsystems.0379","DOIUrl":"10.34133/cbsystems.0379","url":null,"abstract":"Objective: Advancing high-speed steady-state visually evoked potential (SSVEP)-based brain-computer interface (BCI) systems requires effective electroencephalogram (EEG) decoding through deep learning. However, challenges persist due to data sparsity and the unclear neural basis of most augmentation techniques. Furthermore, effective processing of dynamic EEG signals and accommodating augmented data require a more sophisticated model tailored to the unique characteristics of EEG signals. Approach: This study introduces background EEG mixing (BGMix), a novel data augmentation technique grounded in neural principles that enhances training samples by replacing background noise between different classes. Building on this, we propose the augment EEG Transformer (AETF), a Transformer-based model designed to capture the temporal, spatial, and frequential features of EEG signals, leveraging the advantages of Transformer architectures. Main results: Experimental evaluations of 2 publicly available SSVEP datasets show the efficacy of the BGMix strategy and the AETF model. The BGMix approach notably improved the average classification accuracy of 4 distinct deep learning models, with increases ranging from 11.06% to 21.39% and 4.81% to 25.17% in the respective datasets. Furthermore, the AETF model outperformed state-of-the-art baseline models, excelling with short training data lengths and achieving the highest information transfer rates (ITRs) of 205.82 ± 15.81 bits/min and 240.03 ± 14.91 bits/min on the 2 datasets. Significance: This study introduces a novel EEG augmentation method and a new approach to designing deep learning models informed by the neural processes of EEG. These innovations significantly improve the performance and practicality of high-speed SSVEP-based BCI systems.","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"6 ","pages":"0379"},"PeriodicalIF":18.1,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12501431/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145253905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tunable Neuromorphic Computing for Dynamic Multi-Timescale Sensing in Motion Recognition. 运动识别中动态多时间尺度传感的可调神经形态计算。

IF 18.1

Cyborg and bionic systems (Washington, D.C.) Pub Date : 2025-09-30 eCollection Date: 2025-01-01 DOI: 10.34133/cbsystems.0412

Ruitong Bie, Xi Chen, Zhe Yang, Dong An, Yifei Yu, Qianyu Zhang, Ce Li, Zirui Zhang, Dingchen Wang, Jichang Yang, Songqi Wang, Binbin Cui, Dongliang Yang, Lin Hu, Zhongrui Wang, Linfeng Sun

{"title":"Tunable Neuromorphic Computing for Dynamic Multi-Timescale Sensing in Motion Recognition.","authors":"Ruitong Bie, Xi Chen, Zhe Yang, Dong An, Yifei Yu, Qianyu Zhang, Ce Li, Zirui Zhang, Dingchen Wang, Jichang Yang, Songqi Wang, Binbin Cui, Dongliang Yang, Lin Hu, Zhongrui Wang, Linfeng Sun","doi":"10.34133/cbsystems.0412","DOIUrl":"10.34133/cbsystems.0412","url":null,"abstract":"Motion recognition, especially the distinction between high-speed and low-speed movements, is a challenging computational task that typically requires substantial resources. The extensive response range required to detect such variations in speed often exceeds the capabilities of traditional CMOS technology. This report introduces a SnS2-based in-sensor reservoir that offers an effective solution for detecting a variety of motion types at sensory terminals. By leveraging in-sensor reservoir computing, the device excels at classifying different motions across a wide velocity spectrum, providing a novel and promising method for motion recognition. The conductance of SnS2 channel under light stimulation is governed by the trapping and recombination of photogenerated carriers at the inherent defect states, which contributes to the flexible optically dynamical sensing function of the device to varying illumination times. These attributes make the device versatile for both optical sensing and synaptic emulation. The findings suggest that such a SnS2-based device could be instrumental in advancing motion recognition capabilities for developing next-generation artificial intelligence systems.","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"6 ","pages":"0412"},"PeriodicalIF":18.1,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12604526/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145508234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ergonomic Insect Headgear and Abdominal Buckle with Surface Stimulators Manufactured via Multimaterial 3D Printing: Snap-and-Secure Installation of Noninvasive Sensory Stimulators for Cyborg Insects. 通过多材料3D打印制造的具有表面刺激器的人体工程学昆虫头饰和腹部扣：电子昆虫的无创感觉刺激器的快速安全安装。

IF 18.1

Cyborg and bionic systems (Washington, D.C.) Pub Date : 2025-09-22 eCollection Date: 2025-01-01 DOI: 10.34133/cbsystems.0406

Phuoc Thanh Tran-Ngoc, Kewei Song, Thu Ha Tran, Kazuki Kai, Qifeng Lin, Hirotaka Sato

{"title":"Ergonomic Insect Headgear and Abdominal Buckle with Surface Stimulators Manufactured via Multimaterial 3D Printing: Snap-and-Secure Installation of Noninvasive Sensory Stimulators for Cyborg Insects.","authors":"Phuoc Thanh Tran-Ngoc, Kewei Song, Thu Ha Tran, Kazuki Kai, Qifeng Lin, Hirotaka Sato","doi":"10.34133/cbsystems.0406","DOIUrl":"10.34133/cbsystems.0406","url":null,"abstract":"Insects have been integrated with electronic systems to create cyborg insects for various practical applications by utilizing their inherent adaptability and mobility. Nevertheless, most cyborg insects' preparation depends on the invasive method, which can cause harm to critical sensory organs and restrict the obstacle-negotiating capabilities of cyborg insects. We present wearable devices with headgear and abdominal buckle that address these challenges using hooking mechanisms, multimaterial 3-dimensional printing, and selective electroless plating. These devices attach securely to the antenna scape and abdominal tergum without damaging functional organs, thereby preserving the insect's natural sensory functions and physical intactness. Besides, the electrodes attach and detach easily without using adhesives, reducing the time required for cyborg insect preparation and enabling the reuse of insects. Experiments show that cyborg insects with wearable devices spend less time traversing obstacles than those prepared using invasive methods. Additionally, the potential for practical navigation tasks is further demonstrated by the cyborg insect's capacity to navigate along the \"S\"-path. This work advances scalable, efficient, and ethical utilization of cyborg insects in the fields of robotics and biohybrid systems.","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"6 ","pages":"0406"},"PeriodicalIF":18.1,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12451109/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145132592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advanced Imaging Strategies Based on Intelligent Micro/Nanomotors. 基于智能微/纳米马达的先进成像策略。

IF 18.1

Cyborg and bionic systems (Washington, D.C.) Pub Date : 2025-09-10 eCollection Date: 2025-01-01 DOI: 10.34133/cbsystems.0384

Dang Zhang, Liang Lin, Chao Deng, Mohamed Syazwan Osman, Paul E D Soto Rodriguez, Fei Han, Mingyu Li, Lei Wang

{"title":"Advanced Imaging Strategies Based on Intelligent Micro/Nanomotors.","authors":"Dang Zhang, Liang Lin, Chao Deng, Mohamed Syazwan Osman, Paul E D Soto Rodriguez, Fei Han, Mingyu Li, Lei Wang","doi":"10.34133/cbsystems.0384","DOIUrl":"10.34133/cbsystems.0384","url":null,"abstract":"Biological imaging has revolutionized tissue analysis by revealing morphological and physiological dynamics, yet faces inherent limitations in penetration depth and resolution. Micro/nanomotors (MNMs), with autonomous propulsion and spatiotemporal control, offer transformative solutions to traditional static imaging paradigms. These dynamic contrast agents enhance detection sensitivity in ultrasound, fluorescence, photoacoustic, and magnetic resonance imaging via motion-amplified signal modulation, enabling real-time tracking of subcellular events and microenvironmental changes. While MNMs-enhanced bioimaging has advanced rapidly, systematic analysis of their mechanisms and challenges remains limited. Based on our research experience in this field, this paper first summarizes the signal-enhancing mechanisms of MNMs in single-modal imaging. It then explores multimodal applications through MNMs-probe design and discusses artificial intelligence-driven intelligent MNMs for precision imaging. Finally, challenges and outlook are outlined, aiming to provide a theoretical framework and research roadmap for MNMs-mediated bioimaging technologies.","PeriodicalId":72764,"journal":{"name":"Cyborg and bionic systems (Washington, D.C.)","volume":"6 ","pages":"0384"},"PeriodicalIF":18.1,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12420953/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145042364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0