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22nd IEEE International Symposium on biomedical Imaging, ISBI 2025

作者： Harding, J. Mason Pourmotabbed, Haatef Li, Yamin Rogge-Obando, Kimberly Wang, Kate Goodale, Sarah E. Wang, Shiyu Bibro, Camden Allee, Bergen Martin, Caroline Morgan, Victoria L. Englot, Dario J. Chang, Catie Departments of Electrical and Computer Engineering Vanderbilt University United States Departments of Biomedical Engineering Vanderbilt University United States Departments of Computer Science Vanderbilt University United States Neuroscience Graduate Program Vanderbilt University United States Departments of Radiology Vanderbilt University Medical Center United States Departments of Neurological Surgery Vanderbilt University Medical Center United States Vanderbilt Memory and Alzheimer's Center Vanderbilt University Medical Center United States

ISBN: (纸本)9798331520526

EEG and fMRI are complementary, noninvasive technologies for investigating human brain function. These modalities have been used to uncover large-scale functional networks and their disruptions in clinical populations. Given the high temporal resolution of EEG and high spatial resolution of fMRI, integrating these modalities can provide a more holistic understanding of brain activity. This work explores a multimodal source decomposition technique for extracting shared modes of temporal variation between fMRI BOLD signals and EEG spectral power fluctuations in the resting state. The resulting components are then compared between patients with focal epilepsy and controls, revealing multimodal network differences between groups. © 2025 IEEE.

关键词： Brain mapping

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The Fluorescent Effect of Chitosan Magnetitic Nanoparticles for Near-Infrared Imaging 3

The Fluorescent Effect of Chitosan Magnetitic Nanoparticles ...

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3rd Novel Intelligent and Leading Emerging Sciences Conference, NILES 2021

作者： Abuelmakarem, Hala S. Ahmed, Wafaa A. Mofed, Dina Wael, Mohammed Sami, Sherif A. The Higher Institute of Engineering Elshrouk Academy Biomedical and Systems Engineering Department Egypt Biochemistry and Molecular Biology Unit National Cancer Institute Cairo University Cancer Biology Department Giza Egypt Cairo University Zoology graduate program Department of zoology Faculty of science Giza Egypt Cairo University Faculty of Engineering Department of Biomedical Engineering and Systems Giza Egypt

ISBN: (纸本)9781665421577

Early cancer detection increases the healing rate according to the cancer stage. Nanotechnology is an advanced technique in cancer management due to the permeability and retention effect. Nano contrast agents are chief in early cancer detection because they diffuse in the cancerous tissue due to permeability and retention. This study aims to synthesize Chitosan Magnetic Nanoparticles (CM NPS) to evaluate them as a contrast agent for cells imaging, in vitro, under near-infrared irradiation. CM NPs were synthesized using the wetted chemical method. They were characterized using Dynamic Light Scattering, High-resolution Transmission Electronic Microscopy (HR- TEM), Fourier Transform Infrared (FTIR) Spectroscopy, and X-ray diffraction (XRD). The shining effect of the CM NPs was evaluated under the inverted microscopy over through a human lung epithelial cell culture in vitro. The characterization results ensured the successful synthesis of CM NPs. The photomicrographs appeared shining light of CM NPs on the cells photographed under the inverted microscope. © 2021 IEEE.

关键词： Chitosan

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Cerebral Oxygenation Dynamics in Awake Behaving Mice

Cerebral Oxygenation Dynamics in Awake Behaving Mice

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Clinical and Translational Biophotonics, Translational 2022

作者： Zhang, Qingguang Roche, Morgane Gheres, Kyle W. Chaigneau, Emmanuelle Haselden, William D. Kedarasetti, Ravi T. Charpak, Serge Drew, Patrick J. Department of Engineering Science and Mechanics The Pennsylvania State University University ParkPA United States Institut National de la Santé et de la Recherche Médicale ParisU1128 France Laboratory of Neurophysiology and New Microscopies Université Paris Descartes Paris France Graduate Program in Molecular Cellular and Integrative Biosciences The Pennsylvania State University University ParkPA United States Medical Scientist Training Program and Neuroscience Graduate Program The Pennsylvania State University University ParkPA United States Department of Neurosurgery Department of Biomedical Engineering The Pennsylvania State University University ParkPA United States

We investigated (1) how and by what mechanisms voluntary exercise impacts brain tissue oxygenation, and (2) what is the origin of the 1/f-like oxygen fluctuations, in awake behaving mice. © 2022 The Author(s).

ISBN: (纸本)9781557528209

关键词： Mammals

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Multiplex Magnetic Biosensor Microarrays Facilitate Personalized Vaccination Schedules for Sars-Cov-2 Variants

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SSRN 2024年

作者： Um, Hyun-Kyung Kim, Songeun Wang, Shan X. Lee, Jung-Rok Department of Mechanical and Biomedical Engineering Ewha Womans University Seoul03760 Korea Republic of Graduate Program in Smart Factory Ewha Womans University Seoul03760 Korea Republic of Department of Materials Science and Engineering Stanford University Stanford CA94305 United States Department of Electrical Engineering Stanford University Stanford CA94305 United States

Rapid, sensitive, multiplexed antibody detection technologies are essential for assessing vaccine efficacy and recipient immunity against viruses. As severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants continue to emerge, and the fact that novel viruses may pose potential threats in the near future, personalized vaccines can be precisely tailored to an individual’s measured immunity to help mitigate the symptoms of infection and viral spread. Here, we present giant magnetoresistive (GMR) biosensor microarrays for the quantitative multiplexed detection of antibodies against SARS-CoV-2 variants. The multiplexed GMR biosensor microarrays demonstrated high sensitivity, comparable to that of the single-plex enzyme-linked immunosorbent assay, enabling multiplexed measurements using blood obtained from finger pricks. Additionally, the GMR biosensor microarrays demonstrated compatibility with clinical samples and could detect variant-specific antibodies in serum, allowing for the assessment of current immunity status. Notably, an increased concentration of antibodies against the Omicron variant was clearly observed two weeks after receiving an Omicron-based booster vaccination. These results indicate that GMR biosensor microarrays offer a practical point-of-care tool for monitoring humoral immunity and guiding personalized vaccination schedules, thereby supporting immunity management against SARS-CoV-2 and future viral threats. © 2024, The Authors. All rights reserved.

关键词： Giant magnetoresistance

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Assessment of Simple Adhesive Substrates as a Method for Quantifying Microplastics and the Factors Influencing Capture

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SSRN 2022年

作者： Rieland, Julie M. Hu, Zeyuan Deese, Julian S. Love, Brian J. Department of Materials Science and Engineering United States Department of Biomedical Engineering United States Macromolecular Science and Engineering Graduate Program 2300 Hayward St Ann ArborMI48109 United States

Microplastics are a growing environmental concern, with a large body of evidence documenting substantial distribution of plastic material in virtually all environmental compartments. Countermeasures that help to bind, aggregate, or coalesce these distributed particles might result in lower human and animal exposures. Pressure sensitive adhesives (PSAs) have been identified as a viable microplastic (MP) capture mechanism with a range of potential use conditions. As with any countermeasure, there is a need to evaluate their collection efficiency, cost, ease of installation, etc. Expanding on previous work, submerged, spray-coated PSAs were investigated as a quick and low-cost quantitative method to assess MP binding in water. Two molecular weights of poly(2-ethylhexyl acrylate) PSA (92k, 950k, and 50:50 bimodal distribution) were applied as spray-coated substrates to compare MP-adhesive interactions. Thin films of PSA (92k 6 ± 1 μm, 950k 4 ± 2 μm, 50:50 BD 6.5 ± 1 μm) were sprayed on borosilicate glass slides using a commercial air brush. Polydisperse nylon-12 particles varying in size from 15-30 µm in diameter were dispersed in aqueous solution between 0.01 and 5 mg mL -1 and agitated under ambient conditions as quantitative comparisons of adhesive wettability and net capture. Mixed assays were also performed comparing binding of common MP species including polyethylene, polystyrene, and polyester particles and fibers to understand how varying composition, size, and form factor affect adsorption. The glass slide method demonstrated linear trends associated with the MP binding to glass slides with respect both to exposure time and MP concentration. The adhesive wettability demonstrates bounding parameters under which high wettability adhesives excel at MP capture but may compromise the integrity of the adhesive film. © 2022, The Authors. All rights reserved.

关键词： Adhesives

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Photobiomodulation Promotes Early Recovery of Olfactory Function and Modulates Neuroprotective Gene Expression in a Mouse Model of Ischemic Stroke

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Translational Stroke Research 2025年 1-10页

作者： Shalaby, Reham A. Emmanuel, Acquah Nezhad, Fatemeh Dehgan Akter, Kohinur Salam, S. M. Abdus Yi, Jawoon Kim, Sang Seong Park, Jihwan Kwon, Hyuk Sang Lee, Kyung Hwa Kim, Young Ro Chung, Euiheon Department of Biomedical Science and Engineering Gwangju Institute of Science and Technology Gwangju South Korea School of Life Sciences Gwangju Institute of Science and Technology Gwangju South Korea Department of Pathology Hwasun Hospital and Medical School Biomedical Sciences Graduate Program (BMSGP) Chonnam National University Gwangju South Korea Department of Radiology Harvard Medical School Boston MA United States AI Graduate School Gwangju Institute of Science and Technology Gwangju South Korea Department of Physics and Photon Science Gwangju Institute of Science and Technology Gwangju South Korea Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Boston United States

Ischemic stroke often leads to neurological deficits, including olfactory dysfunction, which can significantly diminish quality of life. Photobiomodulation (PBM) has emerged as a promising therapeutic strategy for enhancing post-stroke recovery, although the molecular mechanisms, particularly regarding gene expression change, are not yet fully understood. This study investigates the long-term effects of photothrombosis (PT) on olfactory function and the olfactory bulb (OB) microenvironment, with a focus on PBM’s efficacy during both early and late phases. In a mouse OB PT stroke model, PBM therapy (808-nm laser, 40 J/cm² fluence, 325 mW/cm², 2 min daily) was applied from day 2 to day 7 post-PT. Olfactory function was monitored from pre-stroke through day 28 using the buried food test (BFT), and MRI scans were performed on days 7 and 28 to assess tissue damage. RNA sequencing (RNA-seq) and reverse transcription quantitative PCR (RT-qPCR) were conducted on day 7 to evaluate gene expression changes, with additional RT-qPCR analyses performed on day 28. PBM significantly accelerated olfactory function recovery by day 14, with full recovery maintained through day 28. Despite functional recovery, MRI results indicated persistent infarction at 28 days. RNA-seq identified upregulation of neuroprotective genes, including Gpr39 and Or4m1, following PBM treatment, suggesting enhanced gene expression related to acute-phase recovery. However, the impact of PBM on gene expression and functional recovery appeared to wane in the later stages of recovery. These findings underscore PBM’s potential to enhance early-stage recovery in ischemic stroke, though its benefits may be more limited in the chronic phase. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

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Novel synthesis of ZIF67 derived cobalt and nickel oxides induced by ammonium tetrafluoroborate as electroactive material of battery supercapacitor hybrids

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Journal of Energy Storage 2023年 68卷

作者： Kuo, Tsung-Rong Draviana, Hanny Tika Hsu, Chia-Shuo Chung, Ren-Jei Chen, Min-Wen Wang, Su-Ching Lee, Pin-Yan Yougbaré, Sibidou Lin, Lu-Yin Wu, Yung-Fu International PhD Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Graduate Institute of Nanomedicine and Medical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Department of Chemical Engineering National Taiwan University of Science and Technology Taipei106 Taiwan Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei Taiwan BP 218 11 Nanoro Burkina Faso Department of Chemical Engineering Ming Chi University of Technology New Taipei City24301 Taiwan

Cobalt and nickel oxides with large theoretical capacitance, high redox activity and low-cost features are widely applied as electroactive material of battery supercapacitor hybrids (BSH) to reduce energy consumption and create renewable energy. Synthesizing cobalt and nickel oxides using zeolitic imidazolate framework 67 (ZIF67) can enhance conductivity and electroactivity and maintain surface area and porosity of ZIF67. Structure directing agent (SDA) can control morphology and improve electrochemical performance. It is attractive to apply SDA for controlling morphology of oxidized ZIF67 and achieving excellent energy storage. In this work, ammonium tetrafluoroborate (NH4BF4) is firstly applied as SDA to synthesize ZIF67 derivative, which is then annealed to form leaf-like cobalt and nickel oxides as electroactive material. The optimal oxidized ZIF67 derivative shows a larger specific capacitance (CF) of 828.9 F/g than those of 519.9 and 5.0 F/g respectively for the oxidized ZIF67 and pristine ZIF67 electrodes, due to preferable leaf-like structure and (311) facet for the former case. A BSH with oxidized ZIF67 derivative positive electrode and graphene negative electrode shows maximum energy density of 10.2 Wh/kg at 357 W/kg, and CF retention of 91% and Coulombic efficiency of 97% after 10,000 cycles. The novel SDA of NH4BF4 is expected to design other efficient electroactive materials for effective energy storage. © 2023 Elsevier Ltd

关键词： Nickel oxide

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Predicting Microsatellite Instability from Histology Images with Dilated Neighborhood Attention Transformer in Colorectal Cancer

Predicting Microsatellite Instability from Histology Images ...

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Yun-Chi Chen Tung Chao Wimaya Nitya Phandita Tzu-Yu Sun Huai-Zhi Wang Yi-Hsien Hsieh Le-Yin Hsu Che Lin Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University (NTU) Taipei Taiwan College of Bioresources and Agriculture NTU Taipei Taiwan Department of Computer Science and Information Engineering National Taiwan University of Science and Technology Taipei Taiwan Graduate Institute of Communication Engineering NTU Taipei Taiwan Data Science Degree Program NTU Taipei Taiwan Department of Electrical Engineering NTU Taipei Taiwan Center for Advanced Computing and Imaging in Biomedicine NTU Taipei Taiwan Smart Medicine and Health Informatics Program NTU Taipei Taiwan

ISBN: (数字)9798331518622

ISBN: (纸本)9798331518639

Microsatellite instability (MSI) is a pivotal genetic marker influencing the efficacy of immunotherapy in colorectal cancer. Traditional MSI examination often requires additional genetic or immunohistochemical tests, whereas histology images, widely available in colorectal cancer diagnosis, offer a valuable alternative for MSI prediction. Although Transformer-based models have demonstrated promising outcomes in predicting MSI from histology images, they are hampered by traditional local attention mechanisms that struggle to capture long-range interdependencies and establish a comprehensive global receptive field. In this study, we introduce DiNAT-MSI, a novel framework for histology-based MSI prediction that incorporates the Dilated Neighborhood Attention Transformer (DiNAT). This model enhances global context recognition and substantially expands receptive fields, all without additional computational burden. Our results demonstrate that DiNAT-MSI achieves a superior patientwise AUROC compared to ResNet18 and Swin Transformer, along with commendable explainability. Our work not only illustrates a more accessible diagnostic tool for leveraging histological data but also underscores the potential of Transformerbased models with sophisticated attention designs in advancing precision medicine for colorectal cancer patients.

关键词： Attention mechanisms Histopathology Computational modeling Precision medicine Small satellites Immunotherapy Colorectal cancer Predictive models Transformers Genetics

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Real-time temperature correction for magnetoresistive biosensors integrated with temperature modulator

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Biosensors and Bioelectronics: X 2023年 14卷 100356页

作者： Kim, Songeun Wang, Shan X. Lee, Jung-Rok Division of Mechanical and Biomedical Engineering Ewha Womans University Seoul03760 Korea Republic of Graduate Program in Smart Factory Ewha Womans University Seoul03760 Korea Republic of Department of Materials Science and Engineering Stanford University StanfordCA93405 United States Department of Electrical Engineering Stanford University StanfordCA93405 United States

Magnetoresistance-based biosensors utilize changes in electrical resistance upon varying magnetic fields to measure biological molecules or events involved with magnetic tags. However, electrical resistance fluctuates with temperature. To decouple unwanted temperature-dependent signals from the signal of interest, various methods have been proposed to correct signals from magnetoresistance-based biosensors. Yet, there is still a need for a temperature correction method capable of instantaneously correcting signals from all sensors in an array, as multiple biomarkers need to be detected simultaneously with a group of sensors in a central laboratory or point-of-care setting. Here we report a giant magnetoresistive biosensor system that enables real-time temperature correction for individual sensors using temperature correction coefficients obtained through a temperature sweep generated by an integrated temperature modulator. The algorithm with individual temperature correction coefficients obviously outperformed that using the average temperature correction coefficient. Further, temperature regulation did not eliminate temperature-dependent signals completely. To demonstrate that the method can be used in biomedical applications where large temperature variations are involved, binding kinetics experiments and melting curve analysis were conducted with the temperature correction method. The method successfully removed all temperature-dependent artifacts and thus produced more precise kinetic parameters and melting temperatures of DNA hybrids. © 2023 The Authors

关键词： Kinetics

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Gradient Boosting Model for Water Quality Forecasting

Gradient Boosting Model for Water Quality Forecasting

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International Conference on Data Analytics and Management, ICDAM 2023

作者： Panda, Parnani Banerjee, Sushovan Mishra, Sushruta Shashidhar, Chitra de Albuquerque, Victor Hugo C. Reis, Marcello Singh, Pooja Kalinga Institute of Industrial Technology Deemed to Be University Bhubaneswar India Department of Commerce and Management Seshadripuram College Bengaluru560020 India Graduate Program in Telecommunication Engineering Federal Institute of Education Science and Technology of Ceará Fortaleza Brazil Federal University of Ceará Ceará Brazil Fort Lauderdale United States Lead of the Biomedical Data Analytics Research Group Bengaluru India Federal Institute of Ceará Ceará Brazil Meteora Consultoria Fortaleza Brazil Galgotias University Uttar Pradesh Greater Noida India

ISBN: (纸本)9789819965465

The aim of our study is to evaluate the quality of water using machine learning methods. Potability is a subjective word that quantifies water quality. In this research, a variety of metrics were used to measure general potability of the water. The prescribed elements are applied like variable matrix to denote water quality. The article used three different classification methods, with success rates ranging from 84.27 to 93.16%, to predict the water quality class including ensemble approach like Random Forest (RFC), SVM for classification (SVC), as well as XGBoost. The Gradient Boosting approach, out of all the ones used, received the greatest accuracy (93.16%), precision (96.3%), recall (92.76%) and F-score (94.54%). Also, it achieved the least computational delay with a mean latency of 1.34 s. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Water quality

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