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SSRN 2024年

作者： Ye, Sung-Joon Koo, Chang Uk Oh, Jeonghun Choi, Kwon Program in Biomedical Radiation Sciences Department of Transdisciplinary Studies Graduate School of Convergence Science and Technology Seoul National University Seoul08826 Korea Republic of Research Institute for Convergence Science Graduate School of Convergence Science and Technology Seoul National University Seoul08826 Korea Republic of Department of Applied Bioengineering Graduate School of Convergence Science and Technology Seoul National University Seoul08826 Korea Republic of Advanced Institutes of Convergence Technology Seoul National University Suwon16229 Korea Republic of Biomedical Research Institute Seoul National University Hospital Seoul03080 Korea Republic of

Tooth radiation dosimetry using an in-vivo electron paramagnetic resonance (EPR) spectrometer serves as a triage method for victims in large-scale radiation emergencies, such as the Fukushima and Chernobyl accidents. However, the victim’s breathing and movement during in-vivo measurements cause signal loss and uncertainty in the radiation-induced signal (RIS). This study aims to address these issues by developing a wearable resonator for a tooth. Using ANSYS HFSS, the dimensions and configuration of an attachable surface coil were optimized by calculating the magnetic field distribution in the enamel volume of a 3D incisor model. The magnetic energy concentration on the tooth enamel was maximized by the attachable surface coil, which had a 5 mm inner diameter and a 0.7 mm trace width at a given microwave power. The configured wearable resonator produced a constant RIS amplitude with a ±2.0% variation from an exposed tooth sample, even with a 2 mm movement along the central axis. Additionally, secure fixation of the wearable resonator resulted in significant stability, showing a relatively low uncertainty of 1.2% in the RIS amplitude. The wearable resonator also achieved an ~8.4% increase in RIS amplitude by concentrating more magnetic energy on the tooth sample compared to a conventional rigid resonator. This enhancement improved the accuracy and sensitivity of in-vivo tooth dosimetry. In conjunction with an automatic control circuit (ACC), the wearable resonator acquired undistorted in-vivo EPR spectra, thereby significantly reducing the need for manual intervention to reset the device due to the in-vivo motion. This combination of the wearable resonator and ACC effectively established a motion compensation system for in-vivo EPR tooth *** in Biomedical Radiation Sciences, Department of Transdisciplinary Studies, graduate School of Convergence Science and Technology, Seoul National University, Seoul 08826, Republic of KoreabResearch Institute for Con

关键词： Dosimetry

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Drying properties of Sentang (Azadirachta excelsa) dried under different temperatures

Drying properties of Sentang (Azadirachta excelsa) dried und...

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International Conference on Science and Technology 2020, ICoST 2020

作者： Mohamad Ruddin, Noor Zulai'ha Rasid, Shaharlina Hermawan, Andi Forest Resource Technology Program Bachelor of Applied Science Faculty of Bioengineering and Technology Universiti Malaysia Kelantan Kelantan Malaysia Forest Resource Technology Centre for Post Graduate Studies Universiti Malaysia Kelantan Pangkalan Chepa Malaysia Forest Resource Technology Program Faculty of Bioengineering and Technology Universiti Malaysia Kelantan Kelantan Malaysia

In this study, we investigated the drying properties of Sentang (Azadirachta excelsa) dried at different temperatures. Sentang tree planted in Kelantan, Malaysia, was used in this study. Drying specimens with dimensions of 30 ×150 × 500 mm were dried under air-drying conditions, a constant temperature of 60, 80, 100, and 120 °C until the moisture content (MC) of the specimens reaches an equilibrium moisture content (EMC) at each drying condition. The drying properties of the specimens were then examined. The results confirmed that drying temperature had a significant effect on drying time. As expected, drying Sentang under air-drying conditions demanding considerable time than the other drying conditions. © Published under licence by IOP Publishing Ltd.

关键词： Drying

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Corrigendum to "Effect of cell imprinting on viability and drug susceptibility of breast cancer cells to doxorubicin" [Acta Biomaterialia, 2020, 113, 119-129] (Acta Biomaterialia (2020) 113 (119–129), (S1742706120303287), (10.1016/***.2020.06.007))

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Acta Biomaterialia 2025年 198卷 571-572页

作者： Shahriyari, Fatemeh Janmaleki, Mohsen Sharifi, Shahriar Hesar, Milad Eyvazi Hoshian, Sasha Taghiabadi, Reza Razaghian, Ahmad Ghadiri, Majid Peirovi, Afshin Mahmoudi, Morteza Nezhad, Amir Sanati Khademhosseini, Ali Division of Engineering in Medicine Department of Medicine Brigham and Women's Hospital Harvard Medical School CambridgeMA United States Division of Health Sciences & Technology Harvard-Massachusetts Institute of Technology Massachusetts Institute of Technology CambridgeMA United States Department of Materials Engineering Faculty of Engineering Imam Khomeini International University Qazvin Iran Biomedical Engineering Graduate Program University of Calgary Canada Precision Health Program and Department of Radiology Michigan State University East LansingMI48824 United States RWTH Aachen University Templergraben 55 Aachen52062 Germany Department of Chemistry and Materials Science Aalto University School of Chemical Engineering Espoo Finland Department of Mechanical Engineering Faculty of Engineering Imam Khomeini International University Qazvin Iran Nano-Biotechnology Department Pasteur Institute of Iran Tehran Iran Departments of Bioengineering Chemical and Biomolecular Engineering and Radiological Sciences Center for Minimally Invasive Therapeutics California NanoSystems Institute University of California – Los Angeles Los AngelesCA United States Terasaki Institute for Biomedical Innovation Los AngelesCA United States

The authors regret to report that the images for panels h (Plain PDMS) and I (MCF7-imprinted PDMS) in Fig. 3 were mistakenly taken from the same dataset, resulting in the omission of the correct image in panel h for the Plain PDMS day 7 image. We sincerely apologize for this error. For an accurate representation, please see the corrected Fig. 3 provided here along with its original figure caption. This does not affect the validity of the statistical analyses or the overall conclusions drawn from the study. © 2025

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Combining Knee Acoustic Emissions, Patient-Reported Measures, and Machine Learning to Assess Osteoarthritis Severity

Combining Knee Acoustic Emissions, Patient-Reported Measures...

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

作者： Christopher Nichols H. Trask Crane Dave Ewart Omer T. Inan Bioengineering Graduate Program Georgia Institute of Technology Atlanta GA USA School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Minneapolis Veterans Affairs Medical Center Minneapolis MN USA Coulter Dept. of Biomedical Engineering School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

Current methods for quantifying osteoarthritis severity have limited resolution and accessibility. Patient-recorded outcome measures such as the Knee Injury and Osteoarthritis Outcome Score (KOOS) capture symptom severity, but are subjectively reported and have little correlation with quantifiable metrics of disease such as Kellgren-Lawrence x-ray grade or MRI findings. Knee acoustic emissions (KAEs) offer a convenient, noninvasive option for quantifying joint health. Here, we use machine learning and wearable design to create an interpretable two-stage algorithm for combining KAEs and KOOS scores into an objective, more accessible method of quantifying disease severity. Our algorithm successfully discriminated between early and late-stage osteoarthritis (balanced accuracy = 85%, ROC-AUC = 0.88). The addition of KAEs improved classification of osteoarthritis severity over the use of KAEs (balanced accuracy = 53%, ROC-AUC = 0.786) or KOOS scores alone (balanced accuracy = 63%, ROC-AUC = 0.593). The findings suggest that KAEs combined with patient-recorded metrics can be used to make a more objective and accessible metric for digitally monitoring knee joint health.

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Cover Feature: Effect of UV Light Exposure Duration on the Removal of Exfoliation Agent Residues in Two-Dimensional Perovskite Nanosheets: An AFM Study (ChemPlusChem 3/2025)

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ChemPlusChem 2025年第3期90卷

作者： Fatma Pinar Gordesli-Duatepe Begümnur Küçükcan Özge Sağlam Department of Genetics and Bioengineering Izmir University of Economics Sakarya Cad. Izmir 35330 Turkey Bioengineering Graduate Program Graduate School Izmir University of Economics Sakarya Cad. Izmir 35330 Turkey Department of Mechanical Engineering Izmir University of Economics Sakarya Cad. Izmir 35330 Turkey

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Physics-based learned design for Fourier DiffuserScope

Physics-based learned design for Fourier DiffuserScope

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Computational Optical Sensing and Imaging, COSI 2021 - Part of OSA Imaging and Applied Optics Congress 2021

作者： Markley, Eric Liu, Fanglin Linda Kellman, Michael Antipa, Nick Waller, Laura UCB/UCSF Joint Graduate Program in Bioengineering University of California Berkeley United States Department of Electrical Engineering and Computer Sciences University of California Berkeley United States Department of Pharmaceutical Chemistry University of California San Francisco United States Department of Electrical and Computer Engineering University of California San Diego United States

We couple a differentiable forward model of diffuser-based single-shot 3D microscopy (Fourier DiffuserScope) with an invertible and differentiable reconstruction algorithm to jointly optimize the imaging system and th... 详细信息

ISBN: (纸本)9781557528209

关键词： Imaging systems

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Accuracy Enhancement of L-Band EPR Tooth Dosimetry by Implementing Multiple Harmonic Detection

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SSRN 2024年

作者： Oh, Jeonghun Koo, Chang Uk Park, Jong In Choi, Kwon Lee, Junyoung Hirata, Hiroshi Ye, Sung-Joon Program in Biomedical Radiation Sciences Graduate School of Convergence Science and Technology Seoul National University Seoul08826 Korea Republic of Ionizing Radiation Metrology Group Korea Research Institute of Standards and Science Daejeon34113 Korea Republic of Research Institute for Convergence Science Seoul National University Seoul08826 Korea Republic of Division of Bioengineering and Bioinformatics Faculty of Information Science and Technology Hokkaido University Sapporo060–0814 Japan Department of Applied Bioengineering Graduate School of Convergence Science and Technology Seoul National University Seoul08826 Korea Republic of Advanced Institute of Convergence Technology Seoul National University Suwon16629 Korea Republic of Biomedical Research Institute Seoul National University Hospital Seoul03080 Korea Republic of

In a large-scale radiation accident, the swift classification of individuals exposed to high levels of radiation is crucial to minimize casualties. In-vivo tooth dosimetry using L-band electron paramagnetic resonance (EPR) spectroscopy is a promising method for this purpose, as it can estimate individual exposure levels rapidly and non-invasively. However, the accuracy of dose estimation associated with this technique remains a great challenge. To enhance the accuracy, digital multiple harmonic detection (MHD) was incorporated into a home-built L-band EPR spectrometer. This approach enabled the utilization of information present in higher harmonics of EPR signals, which has been often discarded in traditional EPR spectroscopy. Acquired multiple harmonic spectra were reconstructed to the first derivative spectrum to merge information and mitigate the signal broadening. The modulation amplitude varied in a range of 0.3 to 0.7 mT to maximize the accuracy. In a 0.5-minute measurement at 0.6 mT, the standard error of inverse prediction (SEIP) was reduced to 0.57 Gy from 0.71 Gy. The statistical significancy of the enhancement was validated. In conclusion, the accuracy enhanced by this MHD can contribute to improving the efficiency of triage systems in the aftermath of a mass radiation accident. © 2024, The Authors. All rights reserved.

关键词： Paramagnetic resonance

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Microfluidic rheology to characterize viscoelastic properties of malignant and non-malignant epithelial cells 21

Microfluidic rheology to characterize viscoelastic propertie...

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21st International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2017

作者： Kim, Junghyun Sohn, Lydia L. Department of Mechanical Engineering University of California at Berkeley BerkeleyCA United States Graduate Program in Bioengineering University of California Berkeley University of California San Francisco BerkeleyCA United States

ISBN: (纸本)9780692941836

This study introduces a novel microfluidic rheology platform to quantify the viscoelastic properties of cells at the single-cell level. We measured both the storage (G') and loss (G") moduli of malignant and non-malignant epithelial cells, and simultaneously evaluate the frequency dependence of the moduli through a power-law structure damping model. With our unique platform's ability to screen large cellular populations, we have established a clear difference between the viscoelastic response of malignant and non-malignant cells. © 17CBMS-0001.

关键词： Cytology

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Multi-class Segmentation of Anatomical Structures Using Deep Learning in CBCT Images Containing Metal Artifacts

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Transactions of the Korean Institute of Electrical Engineers 2022年第1期71卷 253-260页

作者： Yang, Su Chun, Soyoung Kim, Dael Jeoun, Bo Soung Yoo, Jiyong Kang, Se-Ryong Choi, Min-Hyuk Kim, Jo-Eun Huh, Kyung-Hoe Lee, Sam-Sun Heo, Min-Suk Yi, Won-Jin Dept. of Applied Bioengineering Graduate School of Convergence Science and Technology Seoul National University Seoul Korea Republic of Interdisciplinary Program of Bioengineering Seoul National University Seoul Korea Republic of Dept. of Biomedical Radiation Sciences Graduate School of Convergence Science and Technology Seoul National University Seoul Korea Republic of Dept. of Oral and Maxillofacial Radiology Seoul National University Dental Hospital Seoul Korea Republic of Dept. of Oral and Maxillofacial Radiology School of Dentistry and Dental Research Institute Seoul National University Seoul Korea Republic of

In order to perform preoperative surgical planning, accurate segmentation of anatomical structures in cone-beam computed tomography (CBCT) images is required. However, this image segmentation is often impeded by metal artifacts, and it takes a lot of time due to morphological variability in patients. In this paper, we proposed a deep learning based automatic multi-calss segmentation method for anatomical structures in CBCT images containing metal artifacts. Four U-Net based deep learning models were used for anatomical structure segmentation. Each deep learning model was constructed by changing the encoder of U-Net architecture to the backbones (DenseNet121, VGGNet16, ResNet101, and EfficienNetB4). For training and testing our method, we used 20744 CBCT images containing metal artifacts from 30 patient datasets. Experimental results show that the segmentation performances of the mandible, midfacial bone, mandibular canal, and maxillary sinus were achieved F1 scores of , , , and using DenseNet121 with Tversky loss, respectively. Furthermore, our method was able to perform robust and accurate segmentation of anatomical structures in CBCT images containing metal artifacts. © 2022 Korean Institute of Electrical Engineers. All rights reserved.

关键词： Image segmentation

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Compressed sensing 3D fluorescence microscopy using optimized phase mask

Compressed sensing 3D fluorescence microscopy using optimize...

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Computational Optical Sensing and Imaging, COSI 2020 - Part of Imaging and Applied Optics Congress 2020

作者： Yanny, Kyrollos Antipa, Nick Liberti, William Dehaeck, Sam Monakhova, Kristina Liu, Fanglin Linda Shen, Konlin Ng, Ren Waller, Laura UCB/UCSF Joint Graduate Program in Bioengineering University of California Berkeley United States Department of Electrical Engineering and Computer Sciences University of California Berkeley United States Brussels1050 Belgium

We demonstrate a single-shot miniature 3D computational microscope with an optimized phase encoder. Our method uses sparsity-based reconstruction to achieve a 2.76µm lateral and 15µm axial resolution across ... 详细信息

ISBN: (纸本)9781557528209

关键词： Fluorescence microscopy

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