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International Conference on Control, Automation and Systems ( ICCAS)

作者： M. Cho H. J. Kong J. H. Kim B. Jeon K. S. Hong S. Kim Interdisciplinary Program in Bioengineering Graduate School Seoul National University Seoul Republic of Korea Department of Biomedical Engineering Chungnam National University College of Medicine Daejeon Korea Department of Gastroenterology Seoul National University Boramae Medical Center Seoul Korea Department of Gastroenterology Mediplex Sejong Hospital Incheon Korea Institute of Medical and Biological Engineering Medical Research Center Seoul National University Seoul Republic of Korea

ISBN: (纸本)9781538670804;9788993215168

As colonoscopy is the gold standard screening test for colorectal cancer, studies of applying image processing to colonoscopy video are increasing. When performing colonoscopy or applying image processing to colonoscopy video, the presence of a residue in the large intestine is a negative affecting factor. In this reason, the colonoscopist evaluates and records the colon cleanliness after performing colonoscopy. However, these assessments can be influenced by the subjectivity of the colonoscopist. In order to quantify the frequency of residues in the large intestine, we applied image processing and machine learning techniques to the digital images obtained from colonoscopy. Support vector machine technique was applied to distinguish informative frames from colonoscopy videos, and to classify residue frames and the others. The sensitivity, specificity, and accuracy were evaluated for five patients.

关键词： Colonoscopy Support vector machines Intestines Image processing Endoscopes Cancer Colon

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

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

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Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

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

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 (<3%... 详细信息

ISBN: (数字)9798350372076

ISBN: (纸本)9798350372083

关键词： Electric potential Accuracy Hydrogen Lasers and electrooptics Optical sensors Electro-optical waveguides

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Phase-change metal ink with pH-controlled chemical sintering for versatile and scalable fabrication of variable stiffness electronics

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Science Advances 2025年第22期11卷 eadv4921页

作者： Simok Lee Gun-Hee Lee Inho Kang Woojin Jeon Semin Kim Yejin Ahn Choong Yeon Kim Do A Kwon Michael D. Dickey Steve Park Seongjun Park Jae-Woong Jeong School of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) 291 Daehak-ro Yuseong-gu Daejeon 34141 Republic of Korea. Medical Research Center Seoul National University Seoul 03080 Republic of Korea. Departments of Cogno-Mechatronics Engineering and Optics and Mechatronics Engineering Pusan National University Busan 46241 Republic of Korea. Graduate School of Semiconductor Technology Korea Advanced Institute of Science and Technology (KAIST) 291 Daehak-ro Yuseong-gu Daejeon 34141 Republic of Korea. KAIST Information and Electronics Research Institute Daejeon 34141 Republic of Korea. Research Laboratory of Electronics Massachusetts Institute of Technology (MIT) Cambridge MA 02139 USA. Department of Mechanical Engineering Massachusetts Institute of Technology (MIT) Cambridge MA 02139 USA. Department of Chemical and Biomolecular Engineering North Carolina State University (NCSU) Raleigh NC 27606 USA. Department of Materials Science and Engineering Korea Advanced Institute of Science and Technology (KAIST) 291 Daehak-ro Yuseong-gu Daejeon 34141 Republic of Korea. KAIST Institute for NanoCentury Daejeon 34141 Republic of Korea. Department of Biomedical Sciences College of Medicine Seoul National University Seoul 03080 Republic of Korea. School of Transdisciplinary Innovations Seoul National University Seoul 03080 Republic of Korea. Interdisciplinary Program in Bioengineering College of Engineering Seoul National University Seoul 08826 Republic of Korea. Department of Transdisciplinary Medicine Seoul National University Hospital Seoul 03080 Republic of Korea. KAIST Institute for Health Science and Technology Daejeon 34141 Republic of Korea.

Variable stiffness electronics represent the forefront of adaptive technology, integrating rigid and soft electronics in a single system through dynamic mechanical modulation. While gallium’s high modulus tuning ratio and rapid phase transitions make it ideal for transformative electronic systems (TES), its liquid-state instability, high surface tension, and unintended phase transitions during processing pose substantial challenges. Here, we introduce STiffness-Adjustable temperature-Responsive ink (STAR ink), a chemically sinterable gallium composite electronic ink designed to overcome these obstacles. STAR ink enables high-resolution (~50 micrometers) circuit patterning, large-scale batch fabrication, and three-dimensional structure coating at room temperature. Through pH-controlled chemical sintering, STAR ink–based TES exhibits exceptional mechanical tunability (tuning ratio: 1465) and electrical conductivity (2.27 × 106 siemens per meter). Demonstrated applications—from multilayered variable stiffness printed circuit boards (PCBs) matching standard PCBs’ complexity to body-temperature responsive neural probe—underscore STAR ink’s potential for reconfigurable electronics across consumer electronics and biomedical devices.

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Nucleic Acid Amplification: Mie Scatter and Interfacial Tension Based Real-Time Quantification of Colloidal Emulsion Nucleic Acid Amplification (Adv. Biosys. 10/2017)

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Advanced Biosystems 2017年第10期1卷

作者： Ariana M. Nicolini Tyler D. Toth Samuel Y. Kim M. Alejandra Mandel David W. Galbraith Jeong-Yeol Yoon Biomedical Engineering Graduate Interdisciplinary Program and Department of Biomedical Engineering The University of Arizona Tucson AZ 85721 USA School of Plant Sciences The University of Arizona Tucson AZ 85721 USA

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Accuracy assessment of different finger placements for cardiopulmonary resuscitation on infants

Accuracy assessment of different finger placements for cardi...

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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： Jiheum Park Chiyul Yoon Jae Yun Jung Do Kyun Kim Young Ho Kwak Jung Chan Lee Hee Chan Kim Interdisciplinary Program of Bioengineering Seoul National University Graduate School Seoul Korea Department of Emergency Medicine Seoul National University Hospital Seoul Korea Department of Emergency Medicine Seoul National University Hospital Seoul 110-744 Korea Department of Emergency Medicine Seoul National University College of Medicine Seoul Korea Department of Biomedical Engineering Seoul National University Hospital Seoul Korea

ISBN: (纸本)9781479921324

The assessment of cardiopulmonary resuscitation (CPR) is important for training as well as CPR related research to validate new method or to confirm efficacy of existing one. Infant CPR, in particular, has been received great attention due to its controversy over appropriateness of or superiority between two different methods, two-finger (TF) and two-thumb (TT) CPR, suggested by the resuscitation council. Accordingly, the development of assessment tool that is capable of reliably investigating different CPR techniques has become critical. One of the most challenging task in the infant CPR is to provide consistent and accurate finger placement throughout the performance. Here, we suggest a new method to measure accuracy of the finger placement for both TF and TT CPR using manikin-integrated digital measuring system developed in the previous study. Center of forces of force sensitive resistance sensors used for assessing different finger placements were measured in each compression and scattered on 2D plane to quantitatively and qualitatively probe the finger position. The appearance of the scattered data turned out to be significantly different depending on the performance capability. In the comparison between beginners and experts, stdY and meanDist were significant parameters differentiating these two groups for both techniques, meaning beginners are poor at providing consistent forces along y direction and targeting a specific region while relatively good at balancing in x direction.

关键词： Sensors Pediatrics Thumb Force Accuracy Correlation

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Caco-2 Cell-Derived Biomimetic Electrochemical Biosensor for Cholera Toxin Detection

SSRN

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SSRN 2022年

作者： Kim, Yonghwan Lee, Dongtak Seo, Youngjun Jung, Hyo Gi Jang, Jae Won Park, Dongsung Kim, Insu Lee, Gyudo Hwang, Kyo Seon Kim, Seung-Hyun Lee, Sang Won Lee, Jeong Hoon Yoon, Dae Sung School of Biomedical Engineering Korea University Seoul02841 Korea Republic of Interdisciplinary Program in Precision Public Health Korea University Seoul02841 Korea Republic of Department of Clinical Pharmacology and Therapeutics College of Medicine Kyung Hee University Seoul02447 Korea Republic of Department of Biotechnology and Bioinformatics Korea University Sejong30019 Korea Republic of Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology Korea University Sejong30019 Korea Republic of School of Engineering Brown University ProvidenceRI02912 United States Department of Electrical Engineering and Computer Science University of California IrvineCA92697 United States Department of Electrical Engineering Kwangwoon University Seoul01897 Korea Republic of Astrion Inc Seoul02841 Korea Republic of

Cholera is a highly contagious and lethal waterborne disease induced by an infection with Vibrio cholerae (V. cholerae) secreting cholera toxin (CTx). Cholera toxin subunit B (CTxB) from the CTx specifically binds with monosialo-tetra-hexosyl-ganglioside (GM1) found on the exterior cell membrane of an enterocyte. Owing to the pathological process of CTx, a biomimetic electrochemical biosensor (CCB) was developed by applying GM1-expressing Caco-2 cell membrane (CCM) on the electrode surface of the biosensor for CTx detection. Briefly, the electrode surface was functionalized with CCM using the vesicle fusion method. The specific binding between GM1 and CTxB on the electrode surface was verified using confocal laser scanning microscopy and atomic force microscopy. The CTxB detection performances of the CCB, including sensitivity, selectivity, and long-term stability, were determined using electrochemical impedance spectroscopy (EIS). Based on the results, the CCB had an excellent limit of detection of ~11.46 nM and a detection range spanning 100 ng/mL - 1 mg/mL. Further, the CCB had high selectivity for the CTxB compared to different interfering molecules, which are abundant constituents of intestinal fluid and fecal matter in the human body. The long-term stability of the CCBs was also verified for 3 weeks using EIS. Overall, the CCB was found to have an excellent potential for application to point-of-care and cost-effective testing for CTxB detection in developing countries. © 2022, The Authors. All rights reserved.

关键词： Electrochemical impedance spectroscopy

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Humoral immune response to circulating SARS-CoV-2 variants elicited by inactivated and RBD-subunit vaccines

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细胞研究（英文版） 2021年第7期31卷 732-741页

作者： Yunlong Cao Ayijiang Yisimayi Yali Bai Weijin Huang Xiaofeng Li Zhiying Zhang Tianjiao Yuan Ran An Jing Wang Tianhe Xiao Shuo Du Wenping Ma Liyang Song Yongzheng Li Xiang Li Weiliang Song Jiajing Wu Shuo Liu Xuemei Li Yonghong Zhang Bin Su Xianghua Guo Yangyang Wei Chuanping Gao Nana Zhang Yifei Zhang Yang Dou Xiaoyu Xu Rui Shi Bai Lu Ronghua Jin Yingmin Ma Chengfeng Qin Youchun Wang Yingmei Feng Junyu Xiao Xiaoliang Sunney Xie Beijing Advanced Innovation Center for Genomics (ICG) Peking UniversityBeijingChina Biomedical Pioneering Innovation Center (BIOPIC) Peking UniversityBeijingChina Beijing Advanced Innovation Center for Genomics (ICG) Peking UniversityBeijingChina Biomedical Pioneering Innovation Center (BIOPIC) Peking UniversityBeijingChina School of Life Sciences Peking UniversityBeijingChina Beijing Advanced Innovation Center for Genomics (ICG) Peking UniversityBeijingChina Joint Graduate Program of Peking-Tsinghua-NIBS School of Life SciencesTsinghua UniversityBeijingChina Division of HIV/AIDS and Sex-transmitted Virus Vaccines Institute for Biological Product ControlNational Institutes for Food and Drug Control (NIFDC) and WHO Collaborating Center for Standardization and Evaluation of BiologicalsBeijingChina State Key Laboratory of Pathogen and Biosecurity Beijing Institute of Microbiology and EpidemiologyAcademy of Military Medical SciencesBeijingChina Beijing Advanced Innovation Center for Genomics (ICG) Peking UniversityBeijingChina School of Life Sciences Peking UniversityBeijingChina Beijing Advanced Innovation Center for Genomics (ICG) Peking UniversityBeijingChina Biomedical Pioneering Innovation Center (BIOPIC) Peking UniversityBeijingChina Peking-Tsinghua Center for life Sciences Academy for Advanced Interdisciplinary StudiesPeking UniversityBeijingChina Beijing Youan Hospital Capital Medical UniversityBeijingChina Beijing Advanced Innovation Center for Genomics (ICG) Peking UniversityBeijingChina Peking-Tsinghua Center for life Sciences Academy for Advanced Interdisciplinary StudiesPeking UniversityBeijingChina School of Pharmaceutical Sciences IDG/McGovern Institute for Brain ResearchTsinghua UniversityBeijingChina Vazyme Biotech Co. LtdNanjingJiangsuChina CAS Key Laboratory of Microbial Physiological and Metabolic Engineering Institute of MicrobiologyChinese Academy of SciencesBeijingChina Beijing Ditan Hospital Capital Medical UniversityBeijingChina

SARS-CoV-2 variants could induce immune escape by mutations on the receptor-binding domain (RBD) and N-terminal domain(NTD).Here we report the humoral immune response to circulating SARS-CoV-2 variants,such as 501Y.V2 (B.1.351),of the plasma and neutralizing antibodies (NAbs) elicited by CoronaVac (inactivated vaccine),ZF2001 (RBD-subunit vaccine) and natural *** 86 potent NAbs identified by high-throughput single-cell VDJ sequencing of peripheral blood mononuclear cells from vaccinees and convalescents,near half anti-RBD NAbs showed major neutralization reductions against the K417N/E484K/N501Y mutation combination,with E484K being the dominant ***3-53/VH3-66 recurrent antibodies respond differently to RBD variants,and K417N compromises the majority of neutralizing activity through reduced polar contacts with complementarity determining *** contrast,the 242-244 deletion (242-244A) would abolish most neutralization activity of anti-NTD NAbs by interrupting the conformation of NTD antigenic supersite,indicating a much less diversity of anti-NTD NAbs than anti-RBD *** of convalescents and CoronaVac vaccinees displayed comparable neutralization reductions against pseudo-and authentic 501Y.V2 variants,mainly caused by E484K/N501Y and 242-244△,with the effects being ***,RBD-subunit vaccinees exhibit markedly higher tolerance to 501Y.V2 than convalescents,since the elicited anti-RBD NAbs display a high diversity and are unaffected by NTD ***,an extended gap between the third and second doses of ZF2001 leads to better neutralizing activity and tolerance to 501Y.V2 than the standard three-dose ***,these results suggest that the deployment of RBD-vaccines,through a third-dose boost,may be ideal for combating SARS-CoV-2 variants when necessary,especially for those carrying mutations that disrupt the NTD supersite.

关键词： Cryoelectron microscopy Immunology X-ray crystallography

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Technology Roadmap for Flexible Sensors

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ACS NANO 2023年第6期17卷 5211-5295页

作者： Luo, Yifei Abidian, Mohammad Reza Ahn, Jong-Hyun Akinwande, Deji Andrews, Anne M. Antonietti, Markus Bao, Zhenan Berggren, Magnus Berkey, Christopher A. Bettinger, Christopher John Chen, Jun Chen, Peng Cheng, Wenlong Cheng, Xu Choi, Seon-Jin Chortos, Alex Dagdeviren, Canan Dauskardt, Reinhold H. Di, Chong-an Dickey, Michael D. Duan, Xiangfeng Facchetti, Antonio Fan, Zhiyong Fang, Yin Feng, Jianyou Feng, Xue Gao, Huajian Gao, Wei Gong, Xiwen Guo, Chuan Fei Guo, Xiaojun Hartel, Martin C. He, Zihan Ho, John S. Hu, Youfan Huang, Qiyao Huang, Yu Huo, Fengwei Hussain, Muhammad M. Javey, Ali Jeong, Unyong Jiang, Chen Jiang, Xingyu Kang, Jiheong Karnaushenko, Daniil Khademhosseini, Ali Kim, Dae-Hyeong Kim, Il-Doo Kireev, Dmitry Kong, Lingxuan Lee, Chengkuo Lee, Nae-Eung Lee, Pooi See Lee, Tae-Woo Li, Fengyu Li, Jinxing Liang, Cuiyuan Lim, Chwee Teck Lin, Yuanjing Lipomi, Darren J. Liu, Jia Liu, Kai Liu, Nan Liu, Ren Liu, Yuxin Liu, Yuxuan Liu, Zhiyuan Liu, Zhuangjian Loh, Xian Jun Lu, Nanshu Lv, Zhisheng Magdassi, Shlomo Malliaras, George G. Matsuhisa, Naoji Nathan, Arokia Niu, Simiao Pan, Jieming Pang, Changhyun Pei, Qibing Peng, Huisheng Qi, Dianpeng Ren, Huaying Rogers, John A. Rowe, Aaron Schmidt, Oliver G. Sekitani, Tsuyoshi Seo, Dae-Gyo Shen, Guozhen Sheng, Xing Shi, Qiongfeng Someya, Takao Song, Yanlin Stavrinidou, Eleni Su, Meng Sun, Xuemei Takei, Kuniharu Tao, Xiao-Ming Tee, Benjamin C. K. Thean, Aaron Voon-Yew Trung, Tran Quang Wan, Changjin Wang, Huiliang Wang, Joseph Wang, Ming Wang, Sihong Wang, Ting Wang, Zhong Lin Weiss, Paul S. Wen, Hanqi Xu, Sheng Xu, Tailin Yan, Hongping Yan, Xuzhou Yang, Hui Yang, Le Yang, Shuaijian Yin, Lan Yu, Cunjiang Yu, Guihua Yu, Jing Yu, Shu-Hong Yu, Xinge Zamburg, Evgeny Zhang, Haixia Zhang, Xiangyu Zhang, Xiaosheng Zhang, Xueji Zhang, Yihui Zhang, Yu Zhao, Siyuan Zhao, Xuanhe Zheng, Yuanjin Zheng, Yu-Qing Zheng, Zijian Zhou, Tao Zhu, Bowen Zhu, Ming Zhu, Rong Zhu, Yangzhi Zhu, Yong Zou, Guijin Chen, Xiaodong 08-03 Innovis Singapore 138634 Republic of Singapore Innovative Centre for Flexible Devices (iFLEX) School of Materials Science and Engineering Nanyang Technological University Singapore 639798 Singapore Department of Biomedical Engineering University of Houston Houston Texas 77024 United States School of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 United States Microelectronics Research Center The University of Texas at Austin Austin Texas 78758 United States Department of Chemistry and Biochemistry California NanoSystems Institute and Department of Psychiatry and Biobehavioral Sciences Semel Institute for Neuroscience and Human Behavior and Hatos Center for Neuropharmacology University of California Los Angeles Los Angeles California 90095 United States Colloid Chemistry Department Max Planck Institute of Colloids and Interfaces 14476 Potsdam Germany Department of Chemical Engineering Stanford University Stanford California 94305 United States Laboratory of Organic Electronics Department of Science and Technology Campus Norrköping Linköping University 83 Linköping Sweden Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC) SE-100 44 Stockholm Sweden Department of Materials Science and Engineering Stanford University Stanford California 94301 United States Department of Biomedical Engineering and Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213 United States Department of Bioengineering University of California Los Angeles Los Angeles California 90095 United States School of Chemistry Chemical Engineering and Biotechnology Nanyang Technological University Singapore 637457 Singapore Nanobionics Group Department of Chemical and Biological Engineering Monash University Clayton Australia 3800 Monash

Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze continued...challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative

关键词： soft materials mechanics engineering flexible electronics conformable sensors bioelectronics human-machine interfaces body area sensor networks technology translation sustainable electronics

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Intra-condensate demixing of TDP-43 inside stress granules generates pathological aggregates

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Cell 2025年

作者： Xiao Yan David Kuster Priyesh Mohanty Jik Nijssen Karina Pombo-García Jorge Garcia Morato Azamat Rizuan Titus M Franzmann Aleksandra Sergeeva Anh M Ly Feilin Liu Patricia M Passos Leah George Szu-Huan Wang Jayakrishna Shenoy Helen L Danielson Busra Ozguney Alf Honigmann Yuna M Ayala Nicolas L Fawzi Dennis W Dickson Wilfried Rossoll Jeetain Mittal Simon Alberti Anthony A Hyman Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG) Dresden 01307 Saxony Germany. Artie McFerrin Department of Chemical Engineering Texas A&M University College Station TX 77843 USA. Department of Neuroscience Mayo Clinic Jacksonville FL 32224 USA. Biotechnology Center (BIOTEC) Center for Molecular and Cellular Bioengineering Technische Universität Dresden Dresden 01307 Saxony Germany. Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG) Dresden 01307 Saxony Germany Edward Doisy Department of Biochemistry and Molecular Biology Saint Louis University St. Louis MO 63104 USA. Department of Molecular Biology Cell Biology & Biochemistry Brown University Providence RI 02912 USA. Center for Biomedical Engineering Brown University Providence RI 02912 USA. Artie McFerrin Department of Chemical Engineering Texas A&M University College Station TX 77843 USA Department of Chemistry Texas A&M University College Station TX 77843 USA Interdisciplinary Graduate Program in Genetics and Genomics Texas A&M University College Station TX 77843 USA. Electronic address: jeetain@tamu.edu. Biotechnology Center (BIOTEC) Center for Molecular and Cellular Bioengineering Technische Universität Dresden Dresden 01307 Saxony Germany. Electronic address: simon.alberti@tu-dresden.de. Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG) Dresden 01307 Saxony Germany. Electronic address: hyman@mpi-cbg.de.

Cytosolic aggregation of the nuclear protein TAR DNA-binding protein 43 (TDP-43) is associated with many neurodegenerative diseases, but the triggers for TDP-43 aggregation are still debated. Here, we demonstrate that TDP-43 aggregation requires a double event. One is up-concentration in stress granules beyond a threshold, and the other is oxidative stress. These two events collectively induce intra-condensate demixing, giving rise to a dynamic TDP-43-enriched phase within stress granules, which subsequently transition into pathological aggregates. Intra-condensate demixing of TDP-43 is observed in iPS-motor neurons, a disease mouse model, and patient samples. Mechanistically, intra-condensate demixing is triggered by local unfolding of the RRM1 domain for intermolecular disulfide bond formation and by increased hydrophobic patch interactions in the C-terminal domain. By engineering TDP-43 variants resistant to intra-condensate demixing, we successfully eliminate pathological TDP-43 aggregates in cells. We suggest that up-concentration inside condensates followed by intra-condensate demixing could be a general pathway for protein aggregation.

关键词： ALS FTD TDP-43 biomolecular condensate intra-condensate demixing neurodegenerative diseases oxidative stress phase separation protein aggregation stress granules

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Endoscopic Vision Based Tracking of Multiple Surgical Instruments in Robot-assisted Surgery

Endoscopic Vision Based Tracking of Multiple Surgical Instru...

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International Conference on Control, Automation and Systems

作者： Jiwon Ryu Jaesoon Choi Hee Chan Kim Interdisciplinary Program Bioengineering Major Graduate School Seoul National University Asan Institute for Life Sciences University of Ulsan College of Medicine and Asan Medical Center Department of Biomedical Engineering College of Medicine and Institute of Medical and Biological Engineering Medical Research Center Seoul National University

ISBN: (纸本)9781467322478

Robot-assisted cardiac surgeries are effective for operations in limited spaces. Enhancement in safety functions based on automatic tracking of surgical instrument position to prevent inadvertent harmful events as cardiac tissue perforation and instrument collisions can be meaningful augmentation to current robot surgery system. A vision based instrument tracking scheme as a core algorithm to implement such assistive functions has been developed in this study. Through a chain of computer vision techniques, including classification of metallic properties using k-means clustering and instrument movement tracking using similarity measure, Euclidean distance calculation, and Kalman filter algorithm, an automatic tracking scheme has been proposed and the implemented system showed satisfactory performance in tests using real robot-assisted surgery videos. Trajectory comparisons of automatically detected data and ground truth data obtained by manually locating the center of mass of each instrument were used to quantitatively validate the system. The developed algorithm could provide valuable information to clinicians for safer operation.

关键词： Surgical instrument tracking Robot-assisted Surgery Multiple object tracking Collision warning

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