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25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021

作者： Kwon, Chan Kang, GeoumYoung Chung, Aram School of Biomedical Engineering Korea University Seoul Korea Republic of Interdisciplinary Program in Precision Public Health Korea University Seoul Korea Republic of

ISBN: (纸本)9781733419031

A novel microfluidic cell stretching platform using viscoelastic fluids is presented, enabling highly effective intracellular delivery of external biomolecules into various cell types. The cell suspended in methylcellulose (MC) solution is injected into the platform, where cells rapidly pass through a single constriction with a dimension slightly smaller than the cell diameter. Because of the MC solution, a high shear force is applied to the cells, effectively generating transient cell membrane discontinuities. With this approach, a high delivery efficiency (>97%), high throughput (>106 cells/min) and nearly clogging-free of various macromolecules into different immune cells were demonstrated for cancer immunotherapy applications. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

关键词： Cells

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Seeing in Body Using Wearable Electronics

SSRN

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SSRN 2024年

作者： Linh, Vo Thi Nhat Han, Seunghun Koh, Eunhye Kim, Sumin Jung, Ho Sang Koo, Jahyun Changwon51508 Korea Republic of School of Biomedical Engineering College of Health Science Korea University Seoul02841 Korea Republic of School of Biomedical Engineering Interdisciplinary Program in Precision Public Health Korea University Seoul02841 Korea Republic of Daejeon34113 Korea Republic of Pohang37673 Korea Republic of

Devices used for diagnosing disease are often large, expensive, and require operation by trained professionals, which can result in delayed diagnosis and missed opportunities for timely treatment. However, wearable devices are being recognized as a new approach to overcoming these difficulties, as they are small, affordable, and easy to use. Recent advancements in wearable technology have made monitoring information possible from the surface of organs like the skin and eyes, enabling accurate diagnosis of the user’s internal status. In this review, we categorize the body’s organs into external (e.g., eyes, oral cavity, neck, and skin) and internal (e.g., heart, brain, lung, stomach, and bladder) organ systems and introduce recent developments in the materials and designs of wearable electronics, including electrochemical and electrophysiological sensors applied to each organ system. Further, we discuss recent innovations in wearable electronics for noninvasive monitoring of deep internal organs, such as the heart, brain, and nervous system, using ultrasound, electrical impedance tomography, and temporal interference stimulation. © 2024, The Authors. All rights reserved.

关键词： Wearable technology

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High-Resolution Hydrogen Molecule Detection Utilizing a Nanocandle-Based Optical Sensor 16

High-Resolution Hydrogen Molecule Detection Utilizing a Nano...

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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Park, Nu-Ri Kim, Min-Joong Lee, Jongsu Seo, Minah Ryu, Yong-Sang Kim, Myung-Ki KU-KIST Graduate School of Converging Science and Technology Korea University Seoul02841 Korea Republic of Korea Institute of Science and Technology Sensor System Research Center Seoul02792 Korea Republic of Northwestern University Department of Electrical Engineering and Computer Science EvanstonIL60208 United States School of Biomedical Engineering Korea University Seoul02481 Korea Republic of Interdisciplinary Program in Precision Public Health Korea University Seoul02481 Korea Republic of

Our research introduces a novel method for safe hydrogen detection. We've developed an advanced nano-candle sensor, combining Pd with nano-candles, enabling accurate detection of low-concentration hydrogen ( ©... 详细信息

ISBN: (纸本)9798350372076

关键词： Nanoclay

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Segmented OctaSiPM for Dual-ended Readout of BGO to Improve Timing Resolution in Time-of-Flight PET

Segmented OctaSiPM for Dual-ended Readout of BGO to Improve ...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： M. Yi D. Lee A. Gola S. Merzi M. Penna J.S. Lee S. R. Cherry S.I. Kwon Department of Biomedical Engineering University of California Davis Davis California United States of America Interdisciplinary Program in Bioengineering College of Engineering Seoul National University Seoul Republic of Korea Fondazione Bruno Kessler Trento Italy Brightonix Imaging Inc Seoul Republic of Korea

ISBN: (数字)9798350388152

ISBN: (纸本)9798350388169

BGO has been highlighted as a cost-effective option for hybrid scintillator/Cherenkov radiator. However, effectively utilizing its improved timing resolution is hindered by challenges in managing the high detection fluctuation of Cherenkov photons and their spectral overlap with scintillation photons. Our previous study showed that the dual-ended readout and an adaptive timestamp method could enhance the detection of quasi-isotropically and simultaneously emitted Cherenkov photons in BGO. The OctaSiPM, developed by FBK, features a single pixel active area of 2.5 × 1.4 mm 2 and a 2 × 4 SiPM arrangement, offering a total active area of 5.3 × 5.8 mm 2 . In our recent investigation, when one end of a BGO crystal was coupled to two segmented pixels of the OctaSiPM, additional information about the initial photon density of the corresponding event could be provided. Thus, we hypothesize that the combination of the segmentation scheme and the dual-ended readout can provide multidimensional information on gamma events in BGO TOF-PET detectors. In the experimental setup, a Teflon-wrapped polished BGO crystal was read out from both ends using OctaSiPMs, followed by low-noise high-frequency amplification. Coincidence detection of gamma rays was conducted between a BGO detector and an LYSO:Ce:Mg reference detector. Relationship between segmented pixel time differences and top-bottom time differences revealed a unique pattern correlating with Cherenkov photon events. By selectively adjusting time windows, time difference distribution converged towards a single Gaussian distribution, enabling the selection of pure Cherenkov-triggered events. This marks the first instance of achieving a single Gaussian fitting from BGO data, underscoring the novelty and importance of our findings. Moreover, the analysis of initial photon counts provided insights into the likelihood of prompt Cherenkov photon detection and its temporal density.

关键词： Microwave integrated circuits Image segmentation Image resolution Fluctuations Semiconductor detectors Gamma-rays Crystals

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Complexity Analysis based on Parietal Fuzzy Entropy to Facilitate ADHD Diagnosis in Young Children 46

Complexity Analysis based on Parietal Fuzzy Entropy to Facil...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Huang, I-Wen Jheng, Yu-Ci Chen, I-Chun Ko, Li-Wei National Yang Ming Chiao Tung University Institute of Biomedical Engineering Hsinchu300040 Taiwan National Yang Ming Chiao Tung University Institute of Electrical and Control Engineering Hsinchu300040 Taiwan National Yang Ming Chiao Tung University International Program in Interdisciplinary Neuroscience College of Biological Science and Technology Hsinchu300040 Taiwan Ton-Yen General Hospital Department of Physical Medicine and Rehabilitation Hsinchu302048 Taiwan Kaohsiung Medical University Drug Development and Value Creation Research Center Kaohsiung807378 Taiwan

ISBN: (纸本)9798350371499

Attention deficit hyperactivity disorder (ADHD) is the most common condition affecting the development of neurons in children. Therefore, early and accurate diagnosis of ADHD in young children is of paramount importance. In this study, the 8-channel wireless wearable EEG measurement device was employed to record EEG data from 30 children diagnosed with ADHD and 30 typical development (TD) young children aged 4-7 years. The data was collected both during rest and while the children performed a Kiddie Continuous Performance Test (K-CPT). We extract relative power spectral density (PSD) unaffected by factors like skull resistance and thickness. Additionally, a range of complex entropy values based on the time domain were extracted. These included sample entropy (SaEn), permutation entropy (PeEn), singular value decomposition entropy (SvdEn), and fuzzy entropy (FuEn). We compare the performance of k-Nearest Neighbors (kNN), Support Vector Machine (SVM), and XGBoost, and utilized the sequential forward selection (SFS) feature selection method in the wrapper approach. Through this process, the study identified the most effective EEG data segments and feature subsets. The findings indicated that using a combination of resting and K-CPT EEG data yielded greater discriminability. Notably, the study found that extracting beta power from the right occipital lobe along with fuzzy entropy from the parietal lobe resulted in optimal accuracy of 90% in distinguishing between children with ADHD and TD children. These outcomes highlight the potential of relative PSD and complexity metrics to support the clinical diagnosis of early ADHD. Furthermore, these metrics may contain unique neurobiomarkers that could be valuable for devising early intervention strategies. © 2024 IEEE.

关键词： Diseases

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HIGH-SPEED DROPLET SQUEEZING FOR T-CELL engineering 25

HIGH-SPEED DROPLET SQUEEZING FOR T-CELL ENGINEERING

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25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021

作者： Kim, You-Jeong Lee, Ha-Sung Chung, Aram Department of Chemical and Biological Engineering Sookmyung Women's University Seoul Korea Republic of School of Biomedical Engineering Korea University Seoul Korea Republic of Interdisciplinary Program in Precision Public Health Korea University Korea Republic of

ISBN: (纸本)9781733419031

A novel droplet-based intracellular delivery platform is presented leveraging droplet microfluidics with mechanical cell permeabilization. A single cell and cargos were encapsulated in a droplet using a flow focusing device. Then, the droplet was accelerated by the sheath flow and passed through a single constriction at high speed, creating membrane discontinuities that facilitate the convective transport of biomolecules into the cell. Using this principle, the cell mechanoporation was achieved in a controlled and reproducible manner, allowing highly efficient, and dosage-controllable with substantially lower analyte amounts. The approach also enables vector-free delivery while maintaining high cell integrity without channel clogging. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

关键词： Cell engineering

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DROPLET SQUEEZING FOR HUMAN PRIMARY T CELL TRANSFECTION 25

DROPLET SQUEEZING FOR HUMAN PRIMARY T CELL TRANSFECTION

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25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021

作者： Joo, Byeongju Hur, Jeongsoo Kim, Gi-Beom Yun, Seung-Gyu Chung, Aram School of Biomedical Engineering Korea University Korea Republic of Interdisciplinary Program in Precision Public Health Korea University Korea Republic of Department of Laboratory Medicine College of Medicine Korea University Korea Republic of

ISBN: (纸本)9781733419031

We present a novel microfluidic intracellular delivery approach termed droplet squeezing, leveraging droplet microfluidics with mechanical cell permeabilization. Briefly, cells and target nanomaterials are co-encapsulated within droplets that pass through a series of constrictions for cell mechanoporation, enabling a highly efficient internalization of external nanomaterials into cells. The use of droplet reduces the external biomolecule consumption drastically and provides near-zero clogging operations. Using the presented droplet squeezing method, mRNAs, plasmid DNAs, and CRISPR-Cas9 ribonucleoproteins were delivered into various cell types, and highly effective primary T cell genomic editing was also demonstrated, showing high potential for T cell-based therapeutic applications [1]. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

关键词： Nanostructured materials

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VRGrip: Developing a Grip Strength Training Platform Integrating a Wireless E-Textile Forearm Band with an Adaptive 3D VR Game Environment

VRGrip: Developing a Grip Strength Training Platform Integra...

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IEEE MIT Undergraduate Research Technology Conference (URTC)

作者： Lohith Chatragadda Aiden Fletcher Matthew J. Delmonico Kunal Mankodiya Dhaval Solanki Interdisciplinary Neuroscience Program University of Rhode Island Kingston RI USA Department of Kinesiology University of Rhode Island Kingston RI USA Department of Electrical Computer and Biomedical Engineering University of Rhode Island Kingston RI USA

ISBN: (数字)9798350309652

ISBN: (纸本)9798350309669

Neurodegenerative disease is a growing global problem. Many of these diseases such as Parkinson's disease can cause grip strength weakness. In this work, we focused on developing an e-textile based EMG acquisition system interfaced with an adaptive VR game engine for detecting hand squeeze actions. We prototyped and performed preliminary tests on a grip detection system consisting of: 1) an e-textile forearm band (E-band), 2) a portable data acquisition module (DAM), and 3) an adaptive 3D VR game engine. Digital health solutions such as our VRGrip system widen the scope of in-home rehabilitation and assessment, and we aimed to make the first step in creating a system for grip strength rehabilitation. To validate our concept, we performed preliminary tests. These tests revealed that the Bluetooth communication protocol between DAM and the game engine was reliable, that the adaptive game engine successfully tailors the game's difficulty level to the user's performance, and that the system was reliable at detecting hand squeezes (F=0.96).

关键词： Wireless communication Training Adaptive systems Three-dimensional displays Protocols Dams Games

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EMGrip: Integrating an e-textile forearm band with a computer game to detect changes in grip exertion

EMGrip: Integrating an e-textile forearm band with a compute...

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International Workshop on Wearable and Implantable Body Sensor Networks (BSN)

作者： Lohith Chatragadda Adrian Valdez Franco Kunal Mankodiya Matthew J. Delmonico Dhaval Solanki Interdisciplinary Neuroscience Program University of Rhode Island Kingston RI USA Department of Kinesiology University of Rhode Island Kingston RI USA Department of Electrical Computer and Biomedical Engineering University of Rhode Island Kingston RI USA

An increasing number of people are being diagnosed with neurodegenerative diseases every year. One of the aims of digital health is to provide innovative solutions for rehabilitation or pre-diagnosis of these diseases. In this vein, e-textiles can allow for the construction of flexible and comfortable devices to record biosignals and develop novel rehabilitation platforms. In this study, an e-textile forearm band was constructed to acquire an electromyogram (EMG: a muscle response to a nerve’s stimulation of the muscle) from the flexor muscles of the hand to detect hand grips/squeezes. A light and portable data acquisition module, as well as a computer-based virtual reality game (controlled by the acquired EMG signal) were designed. Our pilot study showed that the system is reliable in detecting hand squeezes in both 6 healthy participants (F-score: 0.88) and 6 participants with Parkinson’s disease (F-score: 0.88). Participants also rated the system to be enjoyable, comfortable, and easy to use.

关键词：

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DiffEGG: Diffusion-Driven Edge Generation as a Pixel-Annotation-Free Alternative for Instance Annotation

arXiv

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arXiv 2025年

作者： Jo, Sanghyun Lee, Ziseok Lee, Wooyeol Kim, Kyungsu OGQ Seoul Korea Republic of Department of Biomedical Sciences Seoul National University Seoul Korea Republic of Department of Computer Science and Engineering Seoul National University Seoul Korea Republic of School of Transdisciplinary Innovations Interdisciplinary Program in Artificial Intelligence Seoul National University Seoul Korea Republic of

Achieving precise panoptic segmentation heavily relies on pixel-wise instance annotations, but obtaining such datasets is costly. Unsupervised instance segmentation (UIS) eliminates annotation requirements but struggles with adjacent instance merging and single-instance fragmentation, largely due to the limitations of DINO-based backbones, which lack strong instance separation cues. Weakly-supervised panoptic segmentation (WPS) reduces annotation costs by using sparse labels (e.g., points, boxes), yet these annotations remain expensive and introduce human bias and boundary errors, limiting performance. To address these challenges, we propose DiffEGG (Diffusion-Driven EdGe Generation), a fully annotation-free method that extracts instance-aware features from pretrained diffusion models to generate precise instance edge maps. DiffEGG fundamentally differs from prior UIS and WPS approaches by leveraging pretrained diffusion models as a backbone. Unlike DINO-based UIS methods, diffusion models inherently capture fine-grained, instance-aware features, enabling more precise boundary delineation. DiffEGG further enhances edge connectivity through self-supervised fine-tuning, progressively improving instance separation. For WPS, DiffEGG completely eliminates annotation costs and human bias by operating without any form of manual supervision, addressing the key limitations of prior best methods. Additionally, we introduce RIP, a post-processing technique that fuses DiffEGG’s edge maps with segmentation masks in a task-agnostic manner. This broad applicability allows DiffEGG to be seamlessly integrated into various segmentation frameworks. When applied to UIS, DiffEGG and RIP achieve an average +4.4 AP improvement over prior best UIS methods. When combined with weakly-supervised semantic segmentation (WSS), DiffEGG enables WPS without instance annotations, outperforming prior best point-supervised WPS methods by +1.7 PQ. These results demonstrate that DiffEGG’s edge maps serv

关键词： Semantic Segmentation

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