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Self-packaged stretchable printed circuits with ligand-bound liquid metal particles in elastomer

Nature Communications 2025年第1期16卷 1-11页

作者： Seo, Hyeonyeob Lee, Gun-Hee Park, Jiwoo Kim, Dong-Yeong Son, Yeonzu Kim, Semin Nam, Kum Seok Yang, Congqi Won, Joonhee Bae, Jae-Young Kim, Hyunjun Kang, Seung-Kyun Park, Steve Kang, Jiheong Park, Seongjun Department of Bio and Brain Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon South Korea Departments of Cogno-Mechatronics Engineering Pusan National University Busan South Korea Departments of Optics and Mechatronics Engineering Pusan National University Busan South Korea School of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon South Korea Program of Brain and Cognitive Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon South Korea Graduate School of Semiconductor Technology Korea Advanced Institute of Science and Technology (KAIST) Daejeon South Korea Medical Research Center Seoul National University Seoul South Korea Department of Materials Science and Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon South Korea Department of Materials Science and Engineering Seoul National University Seoul South Korea KAIST Institute for NanoCentury Daejeon South Korea Department of Chemistry Seoul National University Seoul South Korea Department of Biomedical Sciences College of Medicine Seoul National University Seoul South Korea School of Transdisciplinary Innovations Seoul National University Seoul South Korea Interdisciplinary Program in Bioengineering College of Engineering Seoul National University Seoul South Korea Department of Transdisciplinary Medicine Seoul National University Hospital Seoul South Korea

Packaging in stretchable electronics is crucial to protect components from environmental damage while preserving mechanical flexibility and providing electrical insulation. The conventional packaging process involves multiple steps that increase in complexity as the number of circuit layers multiply. In this study, we introduce a self-packaged stretchable printed circuit board enabled by the in situ phase separation of liquid metal particles (LMPs) within various polymer matrices during solution-based printing processes. The ligand-bound LMPs (LB-LMPs), engineered to inhibit oxide growth, undergo in situ sintering, prompting vertical phase separation. This synthesis strategy not only achieves high initial conductivity of the LMPs but also encapsulates them within the polymer matrix, preventing leakage and providing electrical insulation. Our method enables multi-layer circuit printing, eliminating the need for additional activation and packaging processes. Furthermore, by integrating conductive materials into packaging layers for selective electrical conductivity, vertical interconnect accesses and conductive pads can be formed, enabling large-scale, stretchable, and leakage-free multi-layer electrical circuits and bio-interfaces. © The Author(s) 2025.

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Tribological properties of hydroxyapatite-coated nanorods on Ti-6Al-4V surfaces

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Scientific Reports 2025年第1期15卷 1-24页

作者： Osafo, Sarah Akua Asumadu, Tabiri Klenam, Desmond Etinosa, Precious Obayemi, John David Agyei-Tuffour, Benjamin Yaya, Abu Dodoo-Arhin, David Eluu, Stanley Chijioke Soboyejo, Wole Department of Materials Science and Engineering School of Engineering Sciences College of Basic and Applied Sciences University of Ghana Accra Legon Ghana Department of Biomaterial Sciences Dental School University of Ghana Korle Bu Campus Accra Ghana Department of Mechanical Engineering Program in Materials Science and Engineering Worcester Polytechnic Institute 100 Institute Road Worcester 01609 MA United States Department of Materials Engineering Sunyani Technical University Sunyani Ghana Global Center of Advanced Materials and Manufacturing Department of Mechanical Engineering College of Engineering State University of New York (SUNY) Polytechnic Institute 100 Seymour Street Utica 13502 NY United States Next Frontiers in Advanced Material Laboratory School of Chemical and Metallurgical Engineering University of the Witwatersrand 1 Jan Smuts Avenue Johannesburg 2050 South Africa Department of Biomedical Engineering Worcester Polytechnic Institute Gateway Park Life Sciences and Bioengineering Centre 60 Prescott Street Worcester 01609 MA United States Department of Biotechnology Ebonyi State University Abakaliki Nigeria Department of Pharmaceutical Microbiology and Biotechnology Faculty of Pharmaceutical Sciences Nnamdi Azikiwe University Anambra State Awka Nigeria

This paper presents the tribological properties and bioactivity of nanostructured hydroxyapatite (HA) from biowaste sources and coated onto Ti-6Al-4V substrates using a novel pack cementation method. The process introduced HA pillars/nanorods on the surfaces of Ti-6Al-4V to enhance their osseointegration for dental implants. The mechanical and tribological properties were studied with nanoindentation, and pin-on-disk techniques, following the microstructural characterization of the coatings with atomic force microscopy, X-ray diffraction, Raman spectroscopy, scanning electron microscopy, and energy dispersive x-ray spectroscopy. The study also examines the surface bioactivity and elucidates the underlying friction and wear mechanisms of the HA-coated and annealed Ti-6Al-4V surface. The study results show a bone bonding capacity of the biowaste-derived HA-coated substrate with improved hardness and tribological properties. The implications of the study are discussed for the development of nano-structured HA-coated Ti-6Al-4V for dental implants with improved osseointegration for dental and biomedical applications. © The Author(s) 2025.

关键词： Bioactivity Dental implants Osseointegration Surface modification Titanium alloys Wear resistance

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In vivo imaging with a flat, lensless microscope

Research Square

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Research Square 2021年

作者： Adams, Jesse K. Yan, Dong Wu, Jimin Boominathan, Vivek Gao, Sibo Rodriguez, Alex V. Carns, Jennifer Richards-Kortum, Rebecca Kemere, Caleb Veeraraghavan, Ashok Robinson, Jacob T. Applied Physics Program Rice University 6100 Main Street HoustonTX77005 United States Department of Electrical and Computer Engineering Rice University 6100 Main Street HoustonTX77005 United States Department of Neuroscience Baylor College of Medicine One Baylor Plaza HoustonTX77030 United States Department of Bioengineering Rice University 6100 Main Street HoustonTX77005 United States Department of Computer Science Rice University 6100 Main Street HoustonTX77005 United States

Lenless microscopes that form images using simple, compact optics, along with associated computational algorithms provide several advantages: small, inexpensive form factors, large fields of view (FOV), and the ability to refocus an image after capture. To date, however, lensless microscopy has yet to be demonstrated for in vivo biological imaging. The primary challenge with in vivo bio-imaging is these dense, low-contrast scenes cannot be accurately reconstructed with existing lensless techniques. To overcome this challenge, we designed an optical phase mask that creates a point-spread function consisting of high-contrast contours with a broad spatial frequency spectrum. Here we show that this "contour" phase mask enables in vivo imaging where previous lensless imaging technologies have failed. As a proof of concept, we demonstrate 3D imaging of a behaving invertebrate, functional calcium imaging in mouse cortex, and in vivo imaging of microvasculature in the human oral mucosa. Together these results demonstrate the ability of lensless imaging to operate in realistic biological imaging applications ranging from pre-clinical animal models to clinical biomedical imaging. Overall, this "Bio-FlatScope" is a clinically relevant imaging technique with advantages of 3D computational refocusing in a low-cost, small form factor that is useful for low-resource settings and difficult-to-reach areas of the body. © 2021, CC BY.

关键词： Microscopes

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Melanoma Detection by AFM Indentation of Histological Specimens

Research Square

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Research Square 2021年

作者： Jeon, ByoungJun Jung, Hyo Gi Lee, Sang Won Lee, Gyudo Shim, Jung Hee Kim, Mi Ok Kim, Byung Jun Kim, Sang-Hyon Lee, Hyungbeen Lee, Sang Woo Yoon, Dae Sung Jo, Seong Jin Choi, Tae Hyun Lee, Wonseok Interdisciplinary Program for Bioengineering Seoul National University Seoul08826 Korea Republic of School of Biomedical Engineering Korea University Seoul02841 Korea Republic of Interdisciplinary Program in Precision Public Health Korea University Seoul02841 Korea Republic of Department of Biotechnology and Bioinformatics Korea University Sejong30019 Korea Republic of Department of Plastic and Reconstructive Surgery Research Services Seoul National University Bundang Hospital Seongnam13620 Korea Republic of Department of Plastic and Reconstructive Surgery Institute of Human Environment Interface Biology Seoul National University College of Medicine Seoul03087 Korea Republic of Department of Internal Medicine Keimyung University Dongsan Medical Center Daegu41931 Korea Republic of Department of Biomedical Engineering Yonsei University Wonju26493 Korea Republic of R&D Center of Curigin Ltd. Seoul04778 Korea Republic of Department of Dermatology Seoul National University College of Medicine Seoul03087 Korea Republic of Department of Electrical Engineering Korea National University of Transportation Chungju27469 Korea Republic of

Melanoma is visible unlike other types of cancer, but it is still challenging to diagnose correctly because of the difficulty in distinguishing between benign nevus and melanoma. We conducted a robust investigation of melanoma, identifying considerable differences in local elastic properties between nevus and melanoma tissues by using atomic force microscopy (AFM) indentation of histological specimens. Specifically, the histograms of the elasticity of melanoma displayed multimodal Gaussian distributions, exhibiting the heterogeneous mechanical properties, in contrast with the unimodal distributions of elasticity in the benign nevus. We identified this notable signature was consistent regardless of blotch incidence by sex, age, anatomical site (e.g., thigh, calf, arm, eyelid, and cheek), or cancer stage (I, IV, and V). In addition, we found that the non-linearity of the force-distance curves for melanoma is increased compared to benign nevus. We believe that AFM indentation of histological specimens may technically complement conventional histopathological analysis for earlier and more precise melanoma detection. © 2021, CC BY.

关键词： Elasticity

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A review of hidden markov models and recurrent neural networks for event detection and localization in biomedical signals

arXiv

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arXiv 2020年

作者： Khalifa, Yassin Mandic, Danilo Sejdić, Ervin Department of Electrical and Computer Engineering University of Pittsburgh PittsburghPA United States Department of Electrical and Computer Engineering Imperial College LondonSW7 2BT United Kingdom Department of Bioengineering University of Pittsburgh PittsburghPA United States Department of Biomedical Informatics University of Pittsburgh PittsburghPA United States Intelligent Systems Program University of Pittsburgh PittsburghPA United States

Biomedical signals carry signature rhythms of complex physiological processes that control our daily bodily activity. The properties of these rhythms indicate the nature of interaction dynamics among physiological processes that maintain a homeostasis. Abnormalities associated with diseases or disorders usually appear as disruptions in the structure of the rhythms which makes isolating these rhythms and the ability to differentiate between them, indispensable. Computer aided diagnosis systems are ubiquitous nowadays in almost every medical facility and more closely in wearable technology, and rhythm or event detection is the first of many intelligent steps that they perform. How these rhythms are isolated? How to develop a model that can describe the transition between processes in time? Many methods exist in the literature that address these questions and perform the decoding of biomedical signals into separate rhythms. In here, we demystify the most effective methods that are used for detection and isolation of rhythms or events in time series and highlight the way in which they were applied to different biomedical signals and how they contribute to information fusion. The key strengths and limitations of these methods are also discussed as well as the challenges encountered with application in biomedical signals. Copyright © 2020, The Authors. All rights reserved.

关键词： Biomedical signal processing

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Airr Community Curation and Standardised Representation for Immunoglobulin and T Cell Receptor Germline Sets

SSRN

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SSRN 2022年

作者： Lees, William D. Christley, Scott Peres, Ayelet Kos, Justin T. Corrie, Brian Ralph, Duncan Breden, Felix Cowell, Lindsay G. Yaari, Gur Corcoran, Martin Karlsson Hedestam, Gunilla B. Ohlin, Mats Collins, Andrew M. Watson, Corey T. Busse, Christian E. Institute of Structural and Molecular Biology Birkbeck College London United Kingdom Human-Centered Computing and Information Science Institute for Systems and Computer Engineering Technology and Science Porto Portugal Peter O’Donnell Jr School of Public Health Department of Immunology UT Southwestern Medical Center Texas United States Bioengineering Program Faculty of Engineering Bar-Ilan University Ramat Gan Israel Department of Biochemistry and Molecular Genetics School of Medicine University of Louisville Kentucky United States Department of Biological Sciences Simon Fraser University BurnabyBC Canada Fred Hutchinson Cancer Research Center SeattleWA United States Department of Microbiology Tumor and Cell Biology Karolinska Institute Stockholm Sweden Department of Immunotechnology Lund University Lund Sweden School of Biotechnology and Biomolecular Sciences University of New South Wales SydneyNSW Australia Division of B Cell Immunology German Cancer Research Center Heidelberg Germany

Analysis of an individual’s immunoglobulin or T cell receptor gene repertoire can provide important insights into immune function. High-quality analysis of adaptive immune receptor repertoire sequencing data depends upon accurate and relatively complete germline sets, but current sets are known to be incomplete. Established processes for the review and systematic naming of receptor germline genes and alleles require specific evidence and data types, but the discovery landscape is rapidly changing. To exploit the potential of emerging data, and to provide the field with improved state-of-the-art germline sets, an intermediate approach is needed that will allow the rapid publication of consolidated sets derived from these emerging sources. These sets must use a consistent naming scheme and allow refinement and consolidation into genes as new information emerges. Name changes should be minimised, but, where changes occur, the naming history of a sequence must be traceable. Here we outline the current issues and opportunities for the curation of germline IG/TR genes and present a forward-looking data model for building out more robust germline sets that can dovetail with current established processes and provides transparency based on principles of findability, accessibility, interoperability, and reusability. We describe results obtained by applying the data model and associated principles within the AIRR Community, including supporting software and databases. © 2022, The Authors. All rights reserved.

关键词： Genes

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Epigenetic factor competition reshapes the EMT landscape

arXiv

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arXiv 2022年

作者： Ali Al-Radhawi, M. Tripathi, Shubham Zhang, Yun Sontag, Eduardo D. Levine, Herbert Department of Electrical and Computer Engineering Northeastern University BostonMA02115 United States Center for Theoretical Biological Physics Northeastern University BostonMA02115 United States PhD Program in Systems Synthetic and Physical Biology Rice University HoustonTX77005 United States Whitehead Institute for Biomedical Research CambridgeMA02142 United States Department of Bioengineering Northeastern University BostonMA02115 United States Department of Physics Northeastern University BostonMA02115 United States Laboratory of Systems Pharmacology Harvard Medical School BostonMA02115 United States State Key Laboratory of Molecular Oncology National Cancer Center National Clinical Research Center for Cancer Cancer Hospital Chinese Academy of Medical Sciences Peking Union Medical College Beijing100021 China

The emergence of and transitions between distinct phenotypes in isogenic cells can be attributed to the intricate interplay of epigenetic marks, external signals, and gene regulatory elements. These elements include chromatin remodelers, histone modifiers, transcription factors, and regulatory RNAs. Mathematical models known as Gene Regulatory Networks (GRNs) are an increasingly important tool to unravel the workings of such complex networks. In such models, epigenetic factors are usually proposed to act on the chromatin regions directly involved in the expression of relevant genes. However, it has been well-established that these factors operate globally and compete with each other for targets genome-wide. Therefore, a perturbation of the activity of a regulator can redistribute epigenetic marks across the genome and modulate the levels of competing regulators. In this paper, we propose a conceptual and mathematical modeling framework that incorporates both local and global competition effects between antagonistic epigenetic regulators in addition to local transcription factors, and show the counter-intuitive consequences of such interactions. We apply our approach to recent experimental findings on the Epithelial-Mesenchymal Transition (EMT). We show that it can explain the puzzling experimental data as well provide new verifiable predictions. © 2022, CC BY-NC-ND.

关键词： Transcription factors

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Positive pressure testing booths development and deployment in response to the COVID-19 outbreak

arXiv

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arXiv 2021年

作者： Aroom, Kevin Ge, Jiawei White, Marcee Al-Zogbi, Lidia Trustman, Adrienne Greenbaum, Adena Krieger, Axel Farley, Jason Robert E. Fischell Institute for Biomedical Devices Department of Bioengineering University of Maryland College ParkMD20742 United States Laboratory for Computational Sensing and Robotics Department of Mechanical Engineering Johns Hopkins University BaltimoreMD21218 United States Robert E. Fischell Institute for Biomedical Devices Department of Mechanical Engineering University of Maryland College ParkMD20742 United States Total Health Care Inc. 1501 Division Street BaltimoreMD21217 United States Health Care for the Homeless 421 Fallsway BaltimoreMD21202 United States STI/HIV Program Baltimore City Health Department BaltimoreMD21202 United States The REACH Initiative Johns Hopkins University School of Nursing BaltimoreMD21205 United States

The COVID-19 pandemic left an unprecedented impact on the general public health, resulting in thousands of deaths in the US alone. Nationwide testing plans were initiated to control the spread, with drive-through being the currently dominant testing approach, which, however, exhausts personal protective equipment supplies, and is unfriendly to individuals not owning a vehicle. Walk-up testing booths are a safe alternative, but are too prohibitively priced on the market to allow for nationwide deployment. In this paper, we present an accessible, mobile, affordable, and safe version of a positive-pressure COVID-19 testing booth. The booths are manufactured using primarily off-the-shelf components from US vendors with minimized customization. The booths’ mobility allows them to be easily transported within local communities to test a larger subset of the population with fewer transportation options. Moreover, the final bill of materials does not surpass USD 3,900, which is about half of the market price. The booths are air conditioned and HEPA filtered to offer healthcare providers a safe and comfortable working environment. The prototype passed required pressure and air exchange tests, and was positively reviewed by two healthcare professionals. Currently, five booths are deployed and used at the Johns Hopkins University School of Nursing, Baltimore City Health Department, and two community health centers in Baltimore. Our design facilitates walk-up testing in the US, as it decreases PPE consumption;reduces the risk of infection;and is accessible to lower-income communities and non-drivers. © 2021, CC BY-SA.

关键词： Air conditioning

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Independent histological validation of MR-derived radio-pathomic maps of tumor cell density using image-guided biopsies in human brain tumors

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Journal of neuro-oncology 2025年 1-12页

作者： Gianluca Nocera Francesco Sanvito Jingwen Yao Sonoko Oshima Samuel A Bobholz Ashley Teraishi Catalina Raymond Kunal Patel Richard G Everson Linda M Liau Jennifer Connelly Antonella Castellano Pietro Mortini Noriko Salamon Timothy F Cloughesy Peter S LaViolette Benjamin M Ellingson UCLA Brain Tumor Imaging Laboratory (BTIL) Center for Computer Vision and Imaging Biomarkers University of California Los Angeles Los Angeles CA USA. Department of Radiological Sciences David Geffen School of Medicine University of California Los Angeles Los Angeles CA USA. University Vita-Salute San Raffaele Milan Italy. Neuroradiology Unit and CERMAC IRCCS Ospedale San Raffaele Milan Italy. Department of Neurosurgery and Gamma Knife Radiosurgery IRCCS Ospedale San Raffaele Milan Italy. Department of Diagnostic Imaging and Nuclear Medicine Graduate School of Medicine Kyoto University Kyoto Japan. Department of Radiology Medical College of Wisconsin Milwaukee WI USA. Department of Neurosurgery David Geffen School of Medicine University of California Los Angeles CA USA. Department of Neurology Medical College of Wisconsin Milwaukee WI USA. Department of Neurology Ronald Reagan UCLA Medical Center University of California Los Angeles CA USA. David Geffen School of Medicine UCLA Neuro-Oncology Program University of California Los Angeles CA USA. Department of Biomedical Engineering Medical College of Wisconsin Milwaukee WI USA. UCLA Brain Tumor Imaging Laboratory (BTIL) Center for Computer Vision and Imaging Biomarkers University of California Los Angeles Los Angeles CA USA. bellingson@mednet.ucla.edu. Department of Radiological Sciences David Geffen School of Medicine University of California Los Angeles Los Angeles CA USA. bellingson@mednet.ucla.edu. Department of Neurosurgery David Geffen School of Medicine University of California Los Angeles CA USA. bellingson@mednet.ucla.edu. Department of Bioengineering Henry Samueli School of Engineering and Applied Science University of California Los Angeles Los Angeles CA USA. bellingson@mednet.ucla.edu. Department of Psychiatry and Biobehavioral Sciences David Geffen School of Medicine University of California Los Angeles CA USA. bellingson@mednet.ucla.edu. UCLA Radiology UCLA Brain Tumor Imaging

PURPOSE:In brain gliomas, non-invasive biomarkers reflecting tumor cellularity would be useful to guide supramarginal resections and to plan stereotactic biopsies. We aim to validate a previously-trained machine learning algorithm that generates cellularity prediction maps (CPM) from multiparametric MRI data to an independent, retrospective external cohort of gliomas undergoing image-guided biopsies, and to compare the performance of CPM and diffusion MRI apparent diffusion coefficient (ADC) in predicting cellularity. METHODS:A cohort of patients with treatment-naïve or recurrent gliomas were prospectively studied. All patients underwent pre-surgical MRI according to the standardized brain tumor imaging protocol. The surgical sampling site was planned based on image-guided biopsy targets and tissue was stained with hematoxylin-eosin for cell density count. The correlation between MRI-derived CPM values and histological cellularity, and between ADC and histological cellularity, was evaluated both assuming independent observations and accounting for non-independent observations. RESULTS:Sixty-six samples from twenty-seven patients were collected. Thirteen patients had treatment-naïve tumors and fourteen had recurrent lesions. CPM value accurately predicted histological cellularity in treatment-naïve patients (b = 1.4, R = 0.2, p = 0.009, rho = 0.41, p = 0.016, RMSE = 1503 cell/mm), but not in the recurrent sub-cohort. Similarly, ADC values showed a significant association with histological cellularity only in treatment-naive patients (b = 1.3, R = 0.22, p = 0.007; rho = -0.37, p = 0.03), not statistically different from the CPM correlation. These findings were confirmed with statistical tests accounting for non-independent observations. CONCLUSION:MRI-derived machine learning generated cellularity prediction maps (CPM) enabled a non-invasive evaluation of tumor cellularity in treatment-naïve glioma patients, although CPM did not clearly outperform ADC alone in this co

关键词： Artificial intelligence Diffusion imaging Glioma Histological validation Imaging biomarker

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Are the emission quantum yields of cesium plumbobromide perovskite nanocrystals reliable metrics for their quality?

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Journal of Photochemistry and Photobiology 2022年 10卷

作者： Tamayo, Jesse Do, Tori El-Maraghy, Karen Vullev, Valentine I. Department of Chemistry University of California Riverside 92521 CA United States Department of Cell Biology and Neuroscience University of California Riverside 92521 CA United States Department of Bioengineering University of California Riverside 92521 CA United States Department of Biochemistry University of California Riverside 92521 CA United States Materials Science and Engineering Program University of California Riverside 92521 CA United States Department of Chemistry and Physics Santa Rosa Junior College Santa Rosa 95401 CA United States School of Nursing Johns Hopkins University 525 N Wolfe St Baltimore 21205 MD United States School of Nursing and Health Professions University of San Francisco San Francisco 94117 CA United States

The impact of halide perovskites on photonics, optoelectronics and energy science is indisputable. The pursuit of perovskite nanomaterials has open roads for explorations where large surface-to-volume ratios are paramount. While the solution-phase synthesis of most nanoparticles is relatively easy, the cleaning steps for obtaining populations of high-quality nanocrystals in good yields tend to present some challenges. As an extensive number of reports show, the quality of photoluminescent nanoparticles usually correlates with increased optical-emission quantum yields. Herein, we examine the products from the cleaning steps, involving centrifugation and resuspension washes, of an established procedure for preparing cesium plumbobromide nanocrystals. The photoluminescence quantum yields of the collected nanocrystals drops by about 10% to 30% after each wash. At the same time, the average exciton lifetime increases by about a factor of four, which reflects a decrease in the radiative-decay rates by about factor of five, while the non-radiative ones increase by less than a factor of two. Further analysis indicates that decreasing the particles size, along with changing their morphology, alters some of the exciton traps, or “quenching” sites, on them. This size decrease, along with changes that accompany it, shorten the exciton lifetimes while enhancing the limited spatial overlap between the holes and the electrons of the excitons and considerably increasing the radiative rates of deactivation. These findings do not suggest that good quality nanoparticles should not necessarily manifest high emission quantum yields. Rather, they point to the complexity of nanomaterials, due to their inherent heterogeneity, that warrants multimodal analysis for understanding the exciton dynamics, while correlating it to observed structural characteristics. © 2022 The Author(s)

关键词： Cesium lead bromide CsPbBr3 Perovskite synthesis Poisson distribution Time-resolved emission spectroscopy

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