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Photonic control of ligand nanospacing in self-assembly regulates stem cell fate

Bioactive Materials 2024年第4期34卷 164-180页

作者： Sungkyu Lee Jounghyun Yoo Gunhyu Bae Ramar Thangam Jeongyun Heo Jung Yeon Park Honghwan Choi Chowon Kim Jusung An Jungryun Kim Kwang Rok Mun Seungyong Shin Kunyu Zhang Pengchao Zhao Yuri Kim Nayeon Kang Seong-Beom Han Dahee Kim Jiwon Yoon Misun Kang Jihwan Kim Letao Yang Solmaz Karamikamkar Jinjoo Kim Yangzhi Zhu Alireza Hassani Najafabadi Guosheng Song Dong-Hwee Kim Ki-Bum Lee Soong Ju Oh Hyun-Do Jung Hyun-Cheol Song Woo Young Jang Liming Bian Zhiqin Chu Juyoung Yoon Jong Seung Kim Yu Shrike Zhang Yongju Kim Ho Seong Jang Sehoon Kim Heemin Kang Department of Materials Science and Engineering Korea UniversitySeoul02841Republic of Korea Chemical and Biological Integrative Research Center Korea Institute of Science and TechnologySeoul02792Republic of Korea KU-KIST Graduate School of Converging Science and Technology Korea UniversitySeoul02841Republic of Korea Department of Chemistry Korea UniversitySeoul02841Republic of Korea Materials Architecturing Research Center Korea Institute of Science and TechnologySeoul02792Republic of Korea School of Biomedical Sciences and Engineering Guangzhou International CampusSouth China University of TechnologyGuangzhou511442China Department of Chemistry and Chemical Biology Rutgers UniversityPiscatawayNJ08854USA Terasaki Institute for Biomedical Innovation Los AngelesCA90064USA State Key Laboratory of Chemo/Biosensing and Chemometrics College of Chemistry and Chemical EngineeringHunan UniversityChangsha410082China Department of Biomedical-Chemical Engineering The Catholic University of KoreaGyeonggi-do14662Republic of Korea Electronic Materials Research Center Korea Institute of Science and TechnologySeoul02792Republic of Korea KIST-SKKU Carbon-Neutral Research Center Sungkyunkwan University(SKKU)Suwon16419Republic of Korea Department of Orthopedic Surgery Korea University Anam HospitalSeoul02841Republic of Korea Department of Electrical and Electronic Engineering and Joint Appointment with School of Biomedical Sciences The University of Hong KongHong Kong518057China Department of Chemistry and Nanoscience Ewha Womans UniversitySeoul03760Republic of Korea Division of Engineering in Medicine Department of MedicineBrigham and Women’s Hospital Harvard Medical SchoolCambridgeMA02139USA Division of Nano&Information Technology KIST SchoolKorea University of Science and Technology(UST)Seoul02792Republic of Korea College of Medicine Korea UniversitySeoul02841Republic of Korea Division of Materials Science and Engineering Hanyang UniversitySeoul04763Republic of Korea

Extracellular matrix(ECM)undergoes dynamic inflation that dynamically changes ligand nanospacing but has not been *** we utilize ECM-mimicking photocontrolled supramolecular ligand-tunable Azo^(+)self-assembly composed of azobenzene derivatives(Azo^(+))stacked via cation-πinteractions and stabilized with RGD ligand-bearing poly(acrylic acid).Near-infrared-upconverted-ultraviolet light induces cis-Azo^(+)-mediated inflation that suppresses cation-πinteractions,thereby inflating liganded *** inflation increases nanospacing of“closely nanospaced”ligands from 1.8 nm to 2.6 nm and the surface area of liganded selfassembly that facilitate stem cell adhesion,mechanosensing,and differentiation both in vitro and in vivo,including the release of loaded molecules by destabilizing water bridges and hydrogen bonds between the Azo^(+)molecules and loaded ***,visible light induces trans-Azo^(+)formation that facilitates cation-πinteractions,thereby deflating self-assembly with“closely nanospaced”ligands that inhibits stem cell adhesion,mechanosensing,and *** stark contrast,when ligand nanospacing increases from 8.7 nm to 12.2 nm via the inflation of self-assembly,the surface area of“distantly nanospaced”ligands increases,thereby suppressing stem cell adhesion,mechanosensing,and ***-term in vivo stability of self-assembly via real-time tracking and upconversion are *** tuning of ligand nanospacing can unravel dynamic ligand-cell interactions for stem cell-regulated tissue regeneration.

关键词： Dynamic self-assembly Ligand nanospacing In vivo tracking Stem cell adhesion Stem cell fate

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Three-Dimensional Variable Slab-Selective Projection Acquisition Imaging

arXiv

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arXiv 2023年

作者： Park, Jinil Shin, Taehoon Park, Jang-Yeon The Department of Intelligent Precision Healthcare Convergence Sungkyunkwan University Suwon Korea Republic of Division of Mechanical and Biomedical Engineering Graduate Program in Smart Factory Ewha Woman University Seoul Korea Republic of The Department of Biomedical Engineering Sungkyunkwan University Suwon Korea Republic of

Three-dimensional (3D) projection acquisition (PA) imaging has recently gained attention because of its advantages, such as achievability of very short echo time, less sensitivity to motion, and undersampled acquisition of projections without sacrificing spatial resolution. However, larger subjects require a stronger Nyquist criterion and are more likely to be affected by outer-volume signals outside the field of view (FOV), which significantly degrades the image quality. Here, we proposed a variable slab-selective projection acquisition (VSS-PA) method to mitigate the Nyquist criterion and effectively suppress aliasing streak artifacts in 3D PA imaging. The proposed method involves maintaining the vertical orientation of the slab-selective gradient for frequency-selective spin excitation and the readout gradient for data acquisition. As VSS-PA can selectively excite spins only in the width of the desired FOV in the projection direction during data acquisition, the effective size of the scanned object that determines the Nyquist criterion can be reduced. Additionally, unwanted signals originating from outside the FOV (e.g., aliasing streak artifacts) can be effectively avoided. The mitigation of the Nyquist criterion owing to VSS-PA was theoretically described and confirmed through numerical simulations and phantom and human lung experiments. These experiments further showed that the aliasing streak artifacts were nearly suppressed. © 2023, CC BY-NC-ND.

关键词： Data acquisition

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Constructing a Segmentation Model for Patients with Leukoaraiosis Using Deep Learning Algorithms 24

Constructing a Segmentation Model for Patients with Leukoara...

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8th International Conference on Medical and Health Informatics, ICMHI 2024

作者： Lo, Li-Ting Tsai, Yi-Chia Chang, Yi-Jou Ting, Hsien-Wei Chien, Ting-Ying Department of Computer Science and Engineering Yuan Ze University Taoyuan City Taiwan Graduate Program in Biomedical Informatics Yuan Ze University Taoyuan City Taiwan Department of Neurosurgery Taipei Hospital Ministry of Health and Welfare New Taipei City242 Taiwan Innovation Center for Big Data and Digital Convergence Yuan Ze University Taoyuan City Taiwan

ISBN: (纸本)9798400716874

Many patients with leukoaraiosis (LA) exhibit mild and difficult-to-detect symptoms in the early stages, and due to the lack of effective detection methods, the optimal timing for treatment is often missed. This not only makes later treatment more difficult but, in severe cases, can even lead to mild to severe dementia. Therefore, in addition to relying on radiologists to manually interpret magnetic resonance imaging (MRI) scans, finding more effective detection methods has become extremely urgent. This study aimed to combine image processing and deep learning technologies to develop a model capable of accurately identifying and segmenting white matter hyperintensities (WMHs) to assist doctors in the early diagnosis of LA. We first performed efficient preprocessing on MR image slices from two different series and used the ResNet18 model to identify key slices containing WMHs, ultimately achieving precise segmentation of WMH areas with the U-Net model. This research focused on developing innovative preprocessing techniques, improving the accuracy by 12.3% with a limited dataset through preprocessing. Ultimately, the ResNet18 model achieved an F1 score of 0.829, while the U-Net model’s intersection over union (IoU) and Dice coefficient reached 0.750 and 0.857, respectively, showing the potential of this architecture. We propose improvements in the final chapter to construct a more comprehensive model. © 2024 Copyright ACM.

关键词： Deep learning

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Constructing an Automated Method for Interpreting Alzheimer’s Disease Based on Deep Learning Models and Image Processing 24

Constructing an Automated Method for Interpreting Alzheimer...

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8th International Conference on Medical and Health Informatics, ICMHI 2024

作者： Yi, Chia-Pin Ting, Hsien-Wei Yang, Tzu-Fang Chien, Ting-Ying Department of Computer Science and Engineering Yuan Ze University Taoyuan City Taiwan Department of Neurosurgery Taipei Hospital Ministry of Health and Welfare New Taipei City242 Taiwan Graduate Program in Biomedical Informatics Yuan Ze University Taoyuan City Taiwan TaiwanInnovation Center for Big Data and Digital Convergence Yuan Ze University Taoyuan City Taiwan

ISBN: (纸本)9798400716874

Alzheimer’s disease (AD) often presents only mild symptoms in its early stages, and as there is no direct diagnostic method currently available, many patients are diagnosed only after the condition has worsened. Considering that magnetic resonance imaging (MRI) can provide key information in the diagnosis of AD, but the condition may go undiagnosed under manual interpretation due to the subtleness of symptoms and the reliance on radiologists to interpret MRI images, this study aimed to develop an automated method for interpreting brain MR images, hoping to screen for potential AD patients. By combining image processing, the U-Net model, YOLOv8 model, various CNN model architectures, and ensemble data statistics, our method was able to identify features related to AD and predict whether a patient has the disease. Our method can process a complete set of MR images and automatically extract important slices for prediction, making it practical for medical applications. Furthermore, we tested the accuracy and reliability of the method with additional datasets. © 2024 Copyright ACM.

关键词： Magnetic resonance imaging

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Analyzing Significance of Facial Features for Detection of Parkinson's Disease via Static Images

Analyzing Significance of Facial Features for Detection of P...

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Electronic Communications, Internet of Things and Big Data (ICEIB), International Conference on

作者： Chuang-Chien Chiu Shoou-Jeng Yeh Yen-Chi Sun Department of Automatic Control Engineering Feng Chia University Taichung Taiwan Section of Neurology and Neurophysiology Cheng-Ching General Hospital Taichung Taiwan Master's Program of Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung Taiwan

ISBN: (数字)9798350360721

ISBN: (纸本)9798350360738

Parkinson's disease (PD) is a neurodegenerative disorder often characterized by motor symptoms such as hypomimia, and a reduction in facial expression. We explored the significance of facial features in identifying PD through static images, focusing on detecting hypomimia. A dataset comprised of PD patients and healthy controls' static facial images were collected and analyzed. Facial feature detection was conducted using OpenCV and Dlib libraries for the precise localization of key landmarks. In the subsequent feature extraction, parameters such as symmetry, eye aspect ratio, mouth corner distance, muscle tension, and mouth aperture ratio were used. Through the standardization of these features, meaningful comparisons across diverse images were made. By analyzing hypomimia-related features alongside traditional facial parameters, the results provide a comprehensive understanding of the role of facial expressions in PD diagnosis. The findings suggested that examining facial features in static images enhances the accuracy of PD detection and understanding of the nuanced motor symptoms associated with the disease.

关键词： Accuracy Parkinson's disease Sociology Mouth Standardization Muscles Motors

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Exploring Ultrasound-Activated Chlorin e6 for Enhanced Tumor-Targeted Therapy

Exploring Ultrasound-Activated Chlorin e6 for Enhanced Tumor...

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IEEE MIT Undergraduate Research Technology Conference (URTC)

作者： Caitlin Johansen Suhani Modha Anita Patel Emily Qin Claire Zhu Shuvanjan Haldar Governor’s School of New Jersey Program in Engineering & Technology Rutgers University New Brunswick USA Biomedical Engineering Rutgers University New Brunswick USA

ISBN: (数字)9798331531003

ISBN: (纸本)9798331531010

Sound therapy is an emerging technique used to treat cancerous cells. Chlorin e6 (Ce6), a popular photosensitizer in cancer therapy, may be promising to target deep tumors. This experiment measured the efficacy of free radical generation using an ultrasonicator bath, 96-well plates, dichlorodihydrofluores-cein diacetate (DCFH-DA), and varying amounts of phosphate-buffered saline (PBS), ascorbic acid, and horseradish peroxidase (HRP) to sound-activate Ce6. Ultrasound waves successfully generated free radicals in PBS and in ultrasonicated agar samples. However, whether Ce6 released higher levels of reactive oxygen species (ROS), a type of free radical, remains inconclusive due to ultrasound wave aggravation.

关键词： Ultrasonic imaging Ultrasonic variables measurement Medical treatment Tumors Cancer

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Establishment of an in-vivo porcine delayed perforation model after duodenal endoscopic submucosal dissection (vol 33, pg 381, 2021)

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DIGESTIVE ENDOSCOPY 2021年第4期33卷 671-671页

作者： Hashiguchi, Keiichi Maruya, Yasuhiro Matsumoto, Ryo Yamaguchi, Shun Ogihara, Kumi Ohnita, Ken Kobayashi, Shinichiro Kanetaka, Kengo Nakao, Kazuhiko Eguchi, Susumu Department of Endoscopy Nagasaki University Hospital Nagasaki Japan Departments of Department of Surgery Nagasaki University Graduate School of Biomedical Sciences Nagasaki Japan Tissue Engineering and Regenerative Therapeutics in Gastrointestinal Surgery Nagasaki University Graduate School of Biomedical Sciences Nagasaki Japan Department of Gastroenterology and Hepatology Nagasaki University Graduate School of Biomedical Sciences Nagasaki Japan Department of Gastroenterology Inoue Hospital Nagasaki Japan

Objectives Duodenal endoscopic submucosal dissection (ESD) for superficial non-ampullary duodenal epithelial tumors has a significant incidence rate of delayed perforation. Although several methods have been proposed to prevent delayed perforation, the most appropriate methods remain unclear. Currently, there is no appropriate animal model to validate methods for preventing duodenal delayed perforation. This study aimed to establish an in-vivo porcine delayed perforation model after duodenal submucosal dissection. Methods Two porcine models underwent either ESD or surgical submucosal dissection. In the surgical dissection model, an inverted duodenal mucosa was resected with electrosurgical energy. In the ESD model, a gauze was placed behind the duodenum with grasped transverse part to improve endoscopic maneuverability. The mucosal defects after dissection were treated with omental coverage without suture in both models. All models were euthanized 0–5 days after procedure. Body weight; resection size; procedure dissection time; presence of intraoperative perforation and delayed perforation; and adhesion score were assessed. Results There were no significant differences in body weight and adhesion score between the two models. Resection size was significantly larger in the surgical dissection models than in the ESD models (19 mm vs 14.3 mm, P < 0.01). Procedure time was significantly longer in the ESD models than in the surgical models (45.2 minutes vs 4.5 minutes, P < 0.01). Delayed perforation rates in the surgical dissection models and the ESD models were 0% (0/5) and 100% (5/5), respectively ( P < 0.01). Conclusions This study indicated that our in-vivo porcine duodenal ESD model is beneficial to evaluate a prevention strategy for delayed perforation.

关键词： animal model duodenal neoplasms duodenal perforation endoscopic submucosal dissection superficial non-ampullary epithelial duodenal tumor

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Conditional Convolution of Clinical Data Embeddings for Multimodal Prostate Cancer Classification 22

Conditional Convolution of Clinical Data Embeddings for Mult...

引用

22nd IEEE International Symposium on biomedical Imaging, ISBI 2025

作者： Zhong, Jiayang Chen, Fuyao Chen, Lihui Shung, Dennis Onofrey, John A. Departments of Biomedical Engineering CT United States Departments of Radiology & Biomedical Imaging CT United States Departments of Medical Scientist Training Program CT United States Departments of Urology CT United States Yale School of Medicine CT United States Department of Biotatistics Yale School of Public Health CT United States

ISBN: (纸本)9798331520526

Accurate risk prediction for prostate cancer (PCa) in multiparametric magnetic resonance imaging (mpMRI) is essential for non-invasive diagnosis. Current deep learning approaches, such as convolutional neural networks (CNNs), show promise in predicting Gleason scores (GS) directly from imaging data, yet often overlook valuable clinical data in other data modalities. In this study, we introduce EmbedCondConv a novel multimodal GS prediction model that incorporates clinical information by conditioning CNN kernels on principal components derived from patient clinical data. We tested our models on a public dataset of 921 selected MRI scans and corresponding structured data and compared the prediction performance to baseline models. Our results demonstrate that incorporating clinical information into the model improves GS prediction accuracy with AUROC of 0.90 compared to 0.69 using imaging alone. All code used in this study is publicly available at https://***/jiayangz/EmbedCondConv. © 2025 IEEE.

关键词： Convolutional neural networks

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Voltage Control of Boost Converters: Feasibility Guarantees*

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IFAC-PapersOnLine 2023年第2期56卷 803-808页

作者： Morteza Nazari Monfared Yu Kawano Michele Cucuzzella Department of Electrical Computer and Biomedical Engineering University of Pavia 27100 Pavia Italy Graduate School of Advanced Science and Engineering Hiroshima University Higashi-hiroshima 739-8527 Japan

This paper deals with the design of a novel static nonlinear controller to regulate the voltage of boost converters while fulfilling physical constraints; at any time instant, the states need to be positive, and the duty cycle of the converter takes an admissible value between zero and one. The proposed controller is based on a shifted Lyapunov function and asymptotically stabilizes the desired equilibrium point of the closed-loop system as long as the voltage and current are positive at any time instant. To guarantee positivity, we derive a necessary and sufficient condition for identifying a feasible level set that is contained in the positive orthant and is positively invariant. Next, to ensure a feasible implementation and operation of the proposed controller, we derive a necessary and sufficient condition on the controller feedback gain to ensure that the converter duty cycle takes admissible values between zero and one. Finally, the most significant theoretical results are validated in simulation.

关键词： Stability of nonlinear systems Constrained control Power systems Asymptotic stabilization Domain of attraction estimation

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Zwitterionic peptides:Tunable next-generation stealth nanoparticle modifications

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Bioactive Materials 2023年第9期27卷 113-124页

作者： Clyde Overby Soomin Park Austin Summers Danielle S.W.Benoit Department of Biomedical Engineering University of Rochester RochesterNYUSA Center for Musculoskeletal Research University of RochesterRochesterNYUSA Department of Biology University of Rochester RochesterNYUSA Department of Biology Duquesne UniversityPAUSA Department of Chemical Engineering University of RochesterRochesterNYUSA Materials Science Program University of RochesterRochesterNYUSA Knight Campus for Accelerating Scientific Impact Department of BioengineeringUniversity of OregonEugeneORUSA

Adsorption of proteins to nanoparticles(NPs),a complex process that results in a protein corona,is controlled by NP surface properties that define NP interactions in *** to control adsorbed protein quantity through surface modification have led to improvements in circulation time or ***,current approaches have yet to be identified to control adsorbed protein identities within the ***,we report the development and characterization of diverse zwitterionic peptides(ZIPs)for NP anti-fouling surface functionalization with specific and controllable affinity for protein adsorption profiles defined by ZIP *** serum exposure of ZIP-conjugated NPs and proteomics analysis of the resulting corona,we determined that protein adsorption profiles depend not on the exact composition of the ZIPs but on the sequence and order of charges along the sequence(charge motif).These findings pave the way for developing tunable ZIPs to orchestrate specific ZIP-NP protein adsorption profiles as a function of ZIP charge motif to better control cell and tissue specificity and pharmacokinetics and provide new tools for investigating relationships between protein corona and biological ***,overall ZIP diversity enabled by the diversity of amino acids may ameliorate adaptive immune responses.

关键词： Nanoparticles Protein corona Surface functionalization Peptide design Cellular uptake

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