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

作者： Jeong Su Lee Gih Sung Chung Hyun Jae Beak Yong Gyu Lim Jin Seong Lee Do Un Jeong Kwang Suk Park Interdisciplinary Program of Bioengineering Graduate School Seoul National University South Korea Department of Oriental Biomedical Engineering Sangji University South Korea Department of Psychiatry Seoul National University South Korea Department of Biomedical Engineering College of Medicine Seoul National University South Korea

In this paper, an unconstrained and noninvasive system to detect heart rate (HR), respiratory rate and extract pulse arrival time (PAT) during sleep is proposed. The system consists of PPG sensor module embedded in a pillow and CC-ECG (capacitor coupled-ECG) sensor module. From the PPG sensor, we acquired heart rate and respiratory rate during sleep with simple peak detection algorithm. Besides, by employing extraction algorithms, PAT can be extracted from signal acquired with a CC-ECG electrode placed on a mattress. The result shows that HR and respiratory rate detection and PAT extraction have been successfully completed regardless of sleep position. This study suggests that the proposed system is promising to be used for continuous and unconstrained estimation of blood pressure during sleep.

关键词： Sleep Monitoring Electrodes Heart rate Capacitive sensors Sensor systems Heart rate detection Capacitors Detection algorithms Blood pressure

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Highly efficient mRNA transfection with droplet cell squeezing for cellular engineering

Highly efficient mRNA transfection with droplet cell squeezi...

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IEEE International Conference on Nano/Molecular Medicine and Engineering (NANOMED)

作者： Ju-Hee Lee Aram Chung Department of Bioengineering Korea University 02841 Seoul Republic of Korea Interdisciplinary Program in Precision Public Health (PPH) Korea University 02841 Seoul Republic of Korea School of Biomedical Engineering Korea University 02841 Seoul Republic of Korea MxT Biotech 04785 Seoul Republic of Korea

We present a novel droplet-based intracellular delivery platform for mRNA transfection. The platform leverages the use of two immiscible fluids to encapsulate a cell and external cargos within a single droplet. The formed droplets travel a narrow z-axis stepwise constriction, smaller than the cell diameter, exerting a physical opening of the cell membrane. Consequently, the platform enables highly effective internalization of cargo into the cell through a combination of diffusive and convective flow. The presented microfluidic approach offers high mRNA transfection efficiency (>98%) with nearly clog-free operation. These results highlight the platform’s potential as a next-generation microfluidics-based intracellular delivery system, showcasing its capacity to achieve both exceptional delivery efficiency and high-throughput capabilities for cell therapy applications.

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Brain MRI Synthesis using Enhanced Denoising Diffusion Probabilistic Models from Brain PET and CT scans

Brain MRI Synthesis using Enhanced Denoising Diffusion Proba...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Y.J. Seol J.S. Lee Interdisciplinary Program in Bioengineering Seoul National University Seoul Republic of Korea Integrated Major in Innovative Medical Science Seoul National University Seoul Republic of Korea Department of Nuclear Medicine Seoul National University Seoul Republic of Korea Brightonix Imaging Inc Seoul Republic of Korea

Denoising diffusion probabilistic models (DDPM) has shown superior performance in image synthesis for various fields. In this study, we propose an enhanced DDPM framework with the joint probability for synthesizing brain MRI from brain PET/CT. Although PET/MRI scans provide high-resolution structural information for partial evaluation and image reconstruction, it is costly and time-consuming compared to PET/CT. Also, synthesizing MRI from PET/CT including anatomical details has not been extensively studied. We achieved significant performance of proposed network compared with U-Net and cGAN in various input.

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Gamma-ray Probe Endoscope using Phoswich structure & Pulse Shape Discrimination system

Gamma-ray Probe Endoscope using Phoswich structure & Pulse S...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： M. Park H. Lee S. Song J. Hwang C. Park K. Lee J.-Y. Yeom Department of Bioengineering Korea University Seoul Republic of Korea Interdisciplinary Program in Precision Public Health Korea University Seoul Republic of Korea Global Health-Tech Research Center Korea University Seoul Republic of Korea School of Biomedical Engineering Korea University Seoul Republic of Korea

ISBN: (数字)9798350388152

ISBN: (纸本)9798350388169

This study focuses on separation of gamma-ray signals, when a high density BGO is used in place of a light guide. The purpose of utilizing BGO instead of the light guide is to shield the GAGG scintillator from background radiation while also acting as a light guide. By using a 1.5mm BGO scintillator, over 87% of side/rear gamma rays were found to interact with BGO rather than GAGG. Gamma radiation interacting with GAGG from the front and the signals interacting with BGO from the side/rear can be separated using our pulse shape discrimination (PSD) method. In addition, unlike the conventional gamma-ray PSD method that processes with raw signals, our method can separate signals processed through CSA using rising time discrimination. By shielding side/rear gamma rays, the structural/spatial limitations of detectors such as the 3 mm diameter flexible gamma probe endoscope being developed by our research team, which limits the use shielding materials, can be overcome.

关键词： Microwave integrated circuits Scintillators Shape Endoscopes Semiconductor detectors Gamma-rays Probes

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OPTIMAL PATH PLANNING program FOR AUTONOMOUS SPEED SPRAYER IN ORCHARD USING ORDER-PICKING ALGORITHM

OPTIMAL PATH PLANNING PROGRAM FOR AUTONOMOUS SPEED SPRAYER I...

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第二届国际计算机与计算技术在农业中的应用研讨会

作者： T.S.Park S.J.Park K.Y.Hwang S.I.Cho Department of Biosystems & Biomaterials Science and Engineering Research Institute for Agriculture and Life SciencesSeoul National University Interdisciplinary Program for Bioengineering Seoul National University Department of Biosystems & Biomaterials Science and Engineering Seoul National University Department of Biosystems & Biomaterials Science and Engineering Seoul National University

This study was conducted to develop a software program which computes optimal path for autonomous navigation in orchard,especially for speed *** of autonomous navigation in orchard were shown by other researches which have minimized distance error between planned path and performed ***,research of planning an optimal path for speed sprayer in orchard is hardly *** this study,a digital map and a database for orchard which contains GPS coordinate information(coordinates of trees and boundary of orchard) and entity information(heights and widths of trees,radius of main stem of trees,disease of trees) was *** orderpicking algorithm which has been used for management of warehouse was used to calculate optimum path based on the digital *** for digital map was created by using Microsoft Access and graphic interface for database was made by using Microsoft Visual C++ *** was possible to search and display information about boundary of an orchard,locations of trees,daily plan for scattering chemicals and plan optimal path on different orchard based on digital map,on each circumstance(starting speed sprayer in different location,scattering chemicals for only selected trees).In efficiency,developed path from this program was compared to conventional path by calculating travel distance on several *** path for rectangular-shaped orchards traveling whole trees showed the same working path as conventional ***,for irregular-shaped orchards,the program developed in 5%shorter path than conventional *** optimum path was created to travel randomly selected trees,the program developed in 11.5%shorter *** program always developed shorter path on any shape of ***-picking algorithm based optimal path developing program in orchard showed efficiency of traveling distance and expected to present path which lead working time and cost efficiently in orchard.

关键词： OPTIMAL PATH PLANNING program FOR AUTONOMOUS SPEED SPRAYER IN ORCHARD USING ORDER-PICKING ALGORITHM

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Performance Evaluation of Cs3Cu2I5 Perovskite Scintillator Grown by Seedless SEST Method

Performance Evaluation of Cs3Cu2I5 Perovskite Scintillator G...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： S. Song J. Seo M. Park J.-Y. Yeom Department of Bioengineering Korea University Seoul Republic of Korea Interdisciplinary Program in Precision Public Health Korea University Seoul Republic of Korea Department of Health and Safety Convergence Science Korea University Seoul Republic of Korea School of Biomedical Engineering Korea University Seoul Republic of Korea

ISBN: (数字)9798350388152

ISBN: (纸本)9798350388169

In this study, we utilized the seedless Slow evaporation solution growth technique (SEST) method to grow Cs 3 Cu 2 I 5 , a 0-D perovskite scintillator material, at room temperature. The growth was conducted under conditions of 23°C temperature and 40% humidity for 10 days, resulting in obtaining multiple crystals of 5 mm in size. Using single crystal Cs 3 Cu 2 I 5 detectors grown in our lab, we evaluated its performance using radioactive isotopes ${ }^{137} \mathrm{Cs},{ }^{241} \mathrm{Am},{ }^{54} \mathrm{Mn},{ }^{60} \mathrm{Co},{ }^{22} \mathrm{Na}$, and ${}^{57}\mathrm{Co}$, and acquired energy resolutions of 8.55%, 23.35%, 7.59%, 6.49%, 9.38%, and 16.8%, respectively. In comparison with polycrystalline counterparts, single crystal Cs 3 Cu 2 I 5 exhibited superior performance, although both demonstrated excellent characteristics. By comparison, measurement using GAGG:Ce as a reference scintillator with the same setup showed an energy resolution of 10.00 %.

关键词： Temperature measurement Performance evaluation Semiconductor device measurement Microwave integrated circuits Scintillators Temperature Semiconductor detectors

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Reduction of Reflected Light on Fluorescence Emission for Indocyanine Green

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Journal of Engineering and Science in Medical Diagnostics and Therapy 2022年第1期5卷 011004页

作者： Kwon, So Yoon Yoon, Ki-Cheol Kim, Kwang Gi Interdisciplinary Program in Bioengineering Seoul National University Seoul08826 Korea Republic of Medical Devices R&D Center Gachon University Gil Medical Center 774 beon-gil Namdong-daero Namdong-gu Incheon21565 Korea Republic of Department of Biomedical Engineering College of Medicine Gachon University 38-13 Dokjom-ro 3 Namdong-gu Incheon21565 Korea Republic of Department of Biomedical Engineering College of Health Science Gachon University 191 Hambakmoero Yeonsu-gu Incheon21936 Korea Republic of Gachon University 38-13 3 Dokjom-ro Namdong-gu Incheon21565 Korea Republic of

Inside the brain tumor, the blood vessels are intricately composed, and the tumors and blood vessels are similar in color. Therefore, when observing tumors and blood vessels with the naked eye or a surgical microscope, it is difficult to distinguish between tumors and blood vessels. Fluorescence staining with indocyanine green (ICG) is performed to distinguish between brain tumors and blood vessels using a surgical microscope. However, when observing the blood circulation state of a tumor or blood vessel through a surgical microscope, light reflection occurs from the camera. In the process of observing the state of the blood vessel, due to the occurrence of light reflection, an obstruction phenomenon in which the observation field is blocked by the blood vessel of the object to be observed occurs. Therefore, it is difficult to diagnose the vascular condition. In this experiment, the 780 nm light-emitting diode (LED) was irradiated to the ICG phantom, and then, when the fluorescence expression image was observed, the polarizing filter such as circular polarized light (CPL) filter and linear polarized light (LPL) filter was inserted into the camera, and the reflected light was reduced. Therefore, it is possible to reduce the reflected light from the fluorescence expression image by using a polarizing filter, and it is expected to be applicable to surgery and diagnostic fields of cancer such as surgery. Copyright © 2022 by ASME.

关键词： Microscopes

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Optimization of Single-ended Continuous Photon Depth-of-Interaction Positioning Scheme Based on Novel Light Sharing

Optimization of Single-ended Continuous Photon Depth-of-Inte...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： H.S. Shim W. He J.S. Lee C. Levin Seoul National University Interdisciplinary Program in Bioengineering Seoul Republic of Korea Seoul National University Integrated Major in Innovative Medical Science Seoul Republic of Korea Stanford University Radiology Stanford California United States of America Seoul National University Nuclear Medicine Seoul Republic of Korea

ISBN: (数字)9798350388152

ISBN: (纸本)9798350388169

This study focuses on enhancing the DOI resolution in PET systems by optimizing a single-ended continuous DOI positioning scheme using a 2 mm pitch $12 \times 12$ LYSO crystal array with varying boundary models. Three models were evaluated for DOI resolution at different depths using SiPMs with a 3.16 mm pitch. Results showed that Model 2, which features a central fully blocked boundary, provided the best DOI resolution of $1.87 \mathrm{~mm}(\sigma)$, equivalent to a FWHM of 4.40 mm. Experiments utilized PETsys module to read the SiPM array individually, and applied row / column sum method manually. With the row / column summed data, the optimization involved comparing and refining four metrics: variance, max/sum ratio, flood map position, and the difference between sums of even and odd entries. Additionally, the coefficients between the row values and column values were optimized. These findings highlight that strategic placement of boundaries within the detector array substantially enhances DOI accuracy, making Model 2 particularly effective for precise PET imaging, and also employing a variety of metrics, rather than a single unified metric, can lead to improved depth of interaction (DOI) resolution.

关键词： Measurement Microwave integrated circuits Image resolution Semiconductor detectors Refining Crystals Arrays

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Fully Autonomous Water Monitoring by Plant-Inspired Robots

SSRN

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SSRN 2024年

作者： Jeong, Seong-Geun Kim, Jingyeong Son, Huiseong Kim, Jae Seong Kim, Ji-Hyun Kim, Byung-Gee Lee, Chang-Soo Department of Chemical Engineering and Applied Chemistry Chungnam National University Daejeon34134 Korea Republic of Bio-MAX Institute Seoul National University Seoul08826 Korea Republic of Department of Chemistry Chung-Ang University Seoul06974 Korea Republic of Interdisciplinary Program for Bioengineering Korea Republic of

Developing countries struggle with water quality management due to poor infrastructure, limited expertise, and financial constraints. The lack of consistent power further limits the adoption of modern water management facilities. Traditional water quality testing relies on periodic site visits and manual sampling by experts. This manual method is not suitable for continuous, wide-area monitoring because it cannot detect sudden contamination from heavy metal spills, and it is impractical for experts to visit multiple sites every day over a large area. To address it, we developed plant-inspired robots capable of electricity-free, low-cost, fully autonomous, water quality monitoring. Constructed from paper, the robot absorbs surrounding water through its roots. It is controlled by paper-based microfluidic logic that sends absorbed water to petal-shaped actuators only when the water is polluted. This triggers the actuators to swell and bend like a blooming flower, which visually signals the presence of pollutants to local residents. The paper robot can be mass-produced at low cost and deployed over larger area. Once installed, it can autonomously operate using only water as fuel, thereby eliminating the need for electricity or expert intervention. This autonomous robot offers a new approach to water quality monitoring suitable for resource-limited environments. © 2024, The Authors. All rights reserved.

关键词： Heavy metals

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Deep learning-based Radionuclide Identification for high temperature applications

Deep learning-based Radionuclide Identification for high tem...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： M. Park S. Kim C. Park C. Kim J.-Y. Yeom Department of Bioengineering Korea University Seoul Republic of Korea Interdisciplinary Program in Precision Public Health Korea University Seoul Republic of Korea Global Health Technology Research Center Korea University Seoul Republic of Korea KAERI Korea Atomic Energy Research Institute Daejeon Republic of Korea

We propose a deep learning-based radionuclide identification algorithm capable of accurately identifying nuclear isotopes even with temperature fluctuations. To detect radiation at high temperatures, we fabricated a radiation detector using a ruggedized PMT and Ce:GPS scintillator, which demonstrates promising performance in high temperature conditions. Our proposed deep learning architecture comprises five hidden layers and one fully connected layer. The accuracy of the proposed radionuclide identification algorithm was verified using radiation sources of 137 Cs, 57 Co, and 133 Ba. The trained deep learning model could identify all classes with a high accuracy of almost 100% from spectra obtained at 25 ℃, 50 ℃, 100 ℃, and 150 ℃. Furthermore, the model demonstrated a relatively high classification performance of 96% and 85.2% in identifying radionuclides from spectra obtained at 75 ℃ and 125 ℃, respectively, which were not included in the training data. This finding validates that our suggested deep learning model can accurately identify nuclides, regardless of temperature fluctuations.

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