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arXiv 2018年

作者： Wang, Mingsong Wu, Zilong Krasnok, Alex Zhang, Tianyi Liu, Mingzu Liu, He Scarabelli, Leonardo Fang, Jie Liz-Marzán, Luis M. Terrones, Mauricio Alù, Andrea Zheng, Yuebing Department of Mechanical Engineering Materials Science and Engineering Program Texas Materials Institute University of Texas at Austin AustinTX78712 United States Photonics Initiative Advanced Science Research Center Physics Program Graduate Center Department of Electrical Engineering City College of The City University of New York NY10031 United States Department of Materials Science and Engineering Department of Physics Center for 2-Dimensional and Layered Materials Department of Chemistry Pennsylvania State University Pennsylvania State University University ParkPA16802 United States Department of Chemistry and Biochemistry California NanoSystems Institute University of California Los Angeles Los AngelesCA90095 United States Bionanoplasmonics Laboratory CIC biomaGUNE Paseo de Miramón 182 Donostia-San Sebastián20014 Spain Ikerbasque Basque Foundation for Science Bilbao48013 Spain Biomedical Research Networking Center in Bioengineering Biomaterials and Nanomedicine CIBER-BBN Donostia- San Sebastián20014 Spain

Strong spatial confinement and highly reduced dielectric screening provide monolayer transition metal dichalcogenides (TMDCs) with strong many-body effects, thereby possessing optically forbidden excitonic states (i.e., dark excitons) at room temperature. Herein, we explore the interaction of surface plasmons with dark excitons in hybrid systems consisting of stacked gold nanotriangles (AuNTs) and monolayer WS2. We observe a narrow Fano resonance when the hybrid system is surrounded by water, and we attribute the narrowing of the spectral Fano linewidth to the plasmon-enhanced decay of dark K-K excitons. Our results reveal that dark excitons in monolayer WS2 can strongly modify Fano resonances in hybrid plasmon-exciton systems and can be harnessed for novel optical sensors and active nanophotonic devices. Copyright © 2018, The Authors. All rights reserved.

关键词： Gold nanoparticles

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Biochemical, Biophysical and Mechanical Characterization of Decellularized Dermal Implants

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Materials Sciences and Applications 2017年第12期8卷 873-888页

作者： Frederick H. Silver Dale DeVore Ruchit Shah Department of Pathology and Laboratory Medicine Robert Wood Johnson Medical School Rutgers the State University of New Jersey Piscataway NJ USA DV Consulting Services Chelmsford MA USA Graduate Program in Biomedical Engineering Rutgers the State University of New Jersey Piscataway NJ USA

Allografts have been used in a variety of applications to augment as well as replace tissues throughout the body. A number of steps are involved in selection, harvesting, processing and testing of dermal allografts. Grafts can be obtained that are: free of antibodies to viruses and low in viral titers. Cellular material can be eliminated from the tissue and the product becomes almost exclusively a collagen fiber network. The purpose of this paper is to examine the changes in collagen structure and properties that occur during processing of decellularized dermis. The results indicate that collagen fiber swelling occurs during processing although the product preserves the native collagen banding pattern at the fibrillar structural level. Fiber swelling and decreased collagen deformability of processed dermis, may lead to stress concentration at the implant-tissue interface and up-regulation of mechanotransduction. This may lead to premature mechanical failure due to creation of a chronic inflammatory condition at the implant-tissue interface. It is suggested that all dermal allografts be oriented such that Langer’s lines of the implant match those of the host tissue, and that wound closure by suturing be done under conditions that preserve the normal tension in skin in order to minimize implant-interfacial failure.

关键词： Collagen Dermis Repair Wound Healing Optical Coherence Tomography Vibrational Analysis Resonant Frequency Modulus Langer’s Lines Mechanotransduction

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Sustainable hydrogen and chemical production via photo-electrochemical reforming of biomass-derived alcohols

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Nano Research 2016年第11期9卷 3388-3393页

作者： Liping Zhang Rong Chen Jianqiang Luo Jianwei Miao Jiajian Gao Bin Liu School of Chemical and Biomedical Engineering Nanyang Technological University 62 Nanyang Drive Singapore 637459 Singapore Energy Research Institute@NTU Interdisciplinary Graduate School Nanyang Technological University Singapore 637141 Singapore

Hydrogen production from steam or autothermal alcohol reforming has been widely studied, but these methods require high temperatures and emit CO2. Here, we present a new strategy for the simultaneous room-temperature production of hydrogen and other chemicals without the emission of CO2, via the photo- electrochemical reforming of biomass-derived alcohols. The measured hydrogen quantum efficiencies reach around 80% across the entire visible solar spectrum from 450 to 850 nm, achieving an ultrahigh hydrogen production rate of 7.91 μmol/（min·cm^2） under AM 1.5G illumination.

关键词： Hydrogen photo-electrochemical reforming biomass-derived alcohols alcohol oxidation

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Molecular identification and phylogenetic reconstruction of two fiddler crabs (Uca forcipata and Uca triangularis)

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IOP Conference Series: Earth and Environmental Science 2019年第1期236卷

作者： S Andriyono H Pramono H W Kim Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan 48513 Republic of Korea Department of Marine Fisheries and Marine Faculty C Campus Jl. Mulyorejo Surabaya 60115. Universitas Airlangga Surabaya East Java Indonesia Department of Marine Biology Pukyong National University Busan 48513 Republic of Korea

Fiddler crabs are one of the types of fauna that inhabit the mangrove ecosystem. They have an essential role in nutrient improvements in the mangrove substrate, besides increasing oxygenation, decomposition and percolation rate, and decreasing salinity and the sulfide substrate condition. This study performed the identification of two species based on their molecular qualities through COI gene markers. The samples were collected from Surabaya, Indonesia and their genomic DNA was extracted through DNA kit extraction at the Molecular Physiology Laboratory PKNU, Busan Korea. Based on the molecular identification in BLASTN, the two species confirmed were Uca forcipata and Uca triangularis with 99% certainty. The species were classified as an Asian fiddler crab species based on the phylogenetic tree featuring 59 species of fiddler crab from around the world.

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Stroke lesion segmentation of 3D brain MRI using multiple random forests and 3D registration 1st

Stroke lesion segmentation of 3D brain MRI using multiple ra...

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1st International Workshop on Brainlesion, Brainles 2015 Held in Conjunction with International Conference on Medical Image Computing for Computer-Assisted Intervention, MICCAI 2015

作者： Wang, Ching-Wei Lee, Jia-Hong Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei City Taiwan

ISBN: (纸本)9783319308579

Stroke is a common cause of sudden death and disability worldwide. In clinical practice, brain magnetic resonance (MR) scans are used to assess the stroke lesion presence. In this work, we have built a fully automatic stroke lesion segmentation system using 3D brain magnetic resonance (MR) data. The system contains a 3D registration framework and a 3D multi-random forest model trained from the data provided by the Ischemic Stroke Lesion Segmentation (ISLES) challenge of the 18th International Conference on Medical Image Computing and Computer Assisted Intervention. The preliminary test results show that the presented system is capable to detect stroke lesion from 3D brain MRI data. © Springer International Publishing Switzerland 2016.

关键词： Magnetic resonance

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Next-generation sequencing yields the complete mitochondrial genome of mud spiny lobster, Panulirus polyphagus (Crustacea: Decapoda) from Madura water

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IOP Conference Series: Earth and Environmental Science 2019年第1期348卷

作者： S Andriyono M J Alam H Pramono A A Abdillah H W Kim Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan 48513 Republic of Korea Department of Marine Fisheries and Marine Faculty C Campus Jl. Mulyorejo Surabaya 60115. Universitas Airlangga Surabaya East Java Indonesia Department of Marine Biology Pukyong National University Busan 48513 Republic of Korea

The circular mitochondrial genome of the mud spiny lobster, Panulirus polyphagus was determined by next-generation sequencing (NGS) platform. The mitochondrial genome of P. polyphagus was 15,707 bp in length, which comprised 13 protein-coding genes, 22 tRNAs, two ribosomal RNAs (12S and 16S). A non-coding putative control region (739 bp) was located between 12S ribosomal RNA and tRNA-Ile. Except for COX1, 13 protein-coding genes initiated with the conventional start codon (ATG). The phylogenetic analysis with the mitogenomes in family Palinuridae showed P. polyphagus was clustered together with four congener species forming a clade, and Panulirus versicolor is closest to P. polyphagus.

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Methods for segmentation and classification of digital microscopy tissue images

arXiv

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arXiv 2018年

作者： Vu, Quoc Dang Graham, Simon To, Minh Nguyen Nhat Shaban, Muhammad Qaiser, Talha Koohbanani, Navid Alemi Khurram, Syed Ali Kurc, Tahsin Farahani, Keyvan Zhao, Tianhao Gupta, Rajarsi Kwak, Jin Tae Rajpoot, Nasir Saltz, Joel Department of Computer Science Engineering Sejong University Seoul Korea Republic of Department of Computer Science University of Warwick University of Sheffield Sheffield United Kingdom Department of Biomedical Informatics Stony Brook University Stony Brook United States Cancer Imaging Program National Cancer Institute National Institutes of Health United States Department of Pathology Stony Brook University Stony Brook United States

High-resolution microscopy images of tissue specimens provide detailed information about the morphology of normal and diseased tissue. Image analysis of tissue morphology can help cancer researchers develop a better understanding of cancer biology. Segmentation of nuclei and classification of tissue images are two common tasks in tissue image analysis. Development of accurate and efficient algorithms for these tasks is a challenging problem because of the complexity of tissue morphology and tumor heterogeneity. In this paper we present two computer algorithms;one designed for segmentation of nuclei and the other for classification of whole slide tissue images. The segmentation algorithm implements a multiscale deep residual aggregation network to accurately segment nuclear material and then separate clumped nuclei into individual nuclei. The classification algorithm initially carries out patch-level classification via a deep learning method, then patch-level statistical and morphological features are used as input to a random forest regression model for whole slide image classification. The segmentation and classification algorithms were evaluated in the MICCAI 2017 Digital Pathology challenge. The segmentation algorithm achieved an accuracy score of 0.78. The classification algorithm achieved an accuracy score of 0.81. These scores were the highest in the challenge. Copyright © 2018, The Authors. All rights reserved.

关键词： Image analysis

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Corrigendum to "Intratumoral injection of thermogelling and sustained-release carboplatin-loaded hydrogel simplifies the administration and remains the synergistic effect with radiotherapy for mice gliomas" [Biomaterials, 151(2018):38-52]

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Biomaterials 2019年 212卷 126-127页

作者： Hsiang-Kuang Tony Liang Xue-Shi Lai Ming-Feng Wei Szu-Huai Lu Wen-Fen Wen Sung-Hsin Kuo Chung-Ming Chen Wen-Yih Isaac Tseng Feng-Huei Lin Institute of Biomedical Engineering National Taiwan University No. 1 Sec. 4 Roosevelt Rd. Taipei 10617 Taiwan Division of Radiation Oncology Department of Oncology National Taiwan University Hospital National Taiwan University College of Medicine No. 7 Chung Shan South Rd. Zhongzheng Dist. Taipei 10002 Taiwan Radiation Science and Proton Therapy Center National Taiwan University College of Medicine No. 7 Chung Shan South Rd. Zhongzheng Dist. Taipei 10002 Taiwan Department of Neurology National Taiwan University Hospital National Taiwan University College of Medicine No. 7 Chung Shan South Rd. Zhongzheng Dist. Taipei 10002 Taiwan. Institute of Biomedical Engineering National Taiwan University No. 1 Sec. 4 Roosevelt Rd. Taipei 10617 Taiwan. Division of Radiation Oncology Department of Oncology National Taiwan University Hospital National Taiwan University College of Medicine No. 7 Chung Shan South Rd. Zhongzheng Dist. Taipei 10002 Taiwan. Department of Pathology National Taiwan University Hospital National Taiwan University College of Medicine No. 7 Chung Shan South Rd. Zhongzheng Dist. Taipei 10002 Taiwan. Division of Radiation Oncology Department of Oncology National Taiwan University Hospital National Taiwan University College of Medicine No. 7 Chung Shan South Rd. Zhongzheng Dist. Taipei 10002 Taiwan Graduate Institute of Oncology College of Medicine National Taiwan University No. 1 Jen Ai Rd. Sec. 1 Zhongzheng Dist. Taipei 10051 Taiwan. Institute of Medical Device and Imaging National Taiwan University College of Medicine No. 1 Jen Ai Rd. Sec. 1 Zhongzheng Dist. Taipei 10051 Taiwan. Institute of Biomedical Engineering and Nano-medicine National Health Research Institutes No. 35 Keyan Road Zhunan Town Miaoli County 35053 Taiwan. Electronic address: double@ntu.edu.tw.

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Radiosensitization effects and ROS generation by high Z metallic nanoparticles on human colon carcinoma cell (HCT116) irradiated under 150 MeV proton beam

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OpenNano 2019年 4卷

作者： Abdul Rashid, Raizulnasuha Zainal Abidin, Safri Khairil Anuar, Muhammad Afiq Tominaga, Takahiro Akasaka, Hiroaki Sasaki, Ryohei Kie, Katahira Abdul Razak, Khairunisak Pham, Binh. T.T. Hawkett, Brian S. Carmichael, Mary-Ann Geso, Moshi Rahman, Wan Nordiana Medical Radiation Programme School of Health Sciences Universiti Sains Malaysia Kubang Kerian 16150 Kelantan Malaysia Department of Clinical Radiology Hiroshima International University Hiroshima 739-452 Japan Division of Radiation Oncology Kobe University Graduate School of Medicine Kobe Japan Hyogo Ion Beam Medical Centre Hyogo 679-5165 Japan School of Materials and Mineral Resources Engineering Universiti Sains Malaysia Nibong Tebal 14300 Penang Malaysia Key Centre for Polymers and Colloids School of Chemistry The University of Sydney 2006 NSW Australia Discipline of Medical Radiation School of Health & Biomedical Sciences RMIT University Bundoora 3083 Victoria Australia

Radiosensitization effects caused by high atomic number (Z) metallic nanoparticles have been extensively explored with a wide range of X-ray based radiotherapy beams that seem to provide intriguing results for potential clinical applications. In this study, the radiobiological consequences of gold nanoparticles (AuNPs), superparamagnetic iron oxide nanoparticles (SPIONs), Platinum Nanodendrites (PtNDs) and Bismuth Oxide Nanorods (BiNRs) on Human Colon Carcinoma cells (HCT 116) irradiated with 150 MeV proton beams were investigated. Cell survival and reactive oxygen species (ROS) generation were measured. BiNRs demonstrates the highest sensitization enhancement ratio (SER) of 4.93 followed by PtNDs with SER value of 3.08. Meanwhile, AuNPs and SPIONs depict SER values around 2.64 and 1.95 respectively. The ROS generation corresponded to the level of radiosensitization with the highest ROS obtained for BiNRs and followed by PtNDs, AuNPs and SPIONs. In conclusion, high Z nanoparticles possess the potential to be clinically applied in proton beam therapy. © 2018

关键词： Bismuth nanoparticles Gold nanoparticles Platinum nanoparticles Proton beam Radiosensitization Superparamagnetic iron oxide nanoparticles

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Ω-Net (Omega-Net): Fully automatic, multi-view cardiac MR detection, orientation, and segmentation with deep neural networks

arXiv

引用

arXiv 2017年

作者： Vigneault, Davis M. Xie, Weidi Ho, Carolyn Y. Bluemke, David A. Alison Noble, J. Institute of Biomedical Engineering Department of Engineering University of Oxford Department of Radiology and Imaging Sciences Clinical Center National Institutes of Health Tufts University School of Medicine Sackler School of Graduate Biomedical Sciences Cardiovascular Division Brigham and Women's Hospital University of Wisconsin-Madison School of Medicine and Public Health

Pixelwise segmentation of the left ventricular (LV) myocardium and the four cardiac chambers in 2-D steady state free precession (SSFP) cine sequences is an essential preprocessing step for a wide range of analyses. Variability in contrast, appearance, orientation, and placement of the heart between patients, clinical views, scanners, and protocols makes fully automatic semantic segmentation a notoriously difficult problem. Here, we present Ω-Net (Omega-Net): a novel convolutional neural network (CNN) architecture for simultaneous localization, transformation into a canonical orientation, and semantic segmentation. First, an initial segmentation is performed on the input image;second, the features learned during this initial segmentation are used to predict the parameters needed to transform the input image into a canonical orientation;and third, a final segmentation is performed on the transformed image. In this work, Ω-Nets of varying depths were trained to detect five foreground classes in any of three clinical views (short axis, SA;four-chamber, 4C;two-chamber, 2C), without prior knowledge of the view being segmented. This constitutes a substantially more challenging problem compared with prior work. The architecture was trained on a cohort of patients with hypertrophic cardiomyopathy (HCM, N = 42) and healthy control subjects (N = 21). Network performance, as measured by weighted foreground intersection-over-union (IoU), was substantially improved for the best-performing Ω-Net compared with U-Net segmentation without localization or orientation (0.858 vs 0.834). In addition, to be comparable with other works, Ω-Net was retrained from scratch on the publicly available 2017 MICCAI Automated Cardiac Diagnosis Challenge (ACDC) dataset. The Ω-Net outperformed the state-of-the-art method in segmentation of the LV and RV bloodpools, and performed slightly worse in segmentation of the LV myocardium. We conclude that this architecture represents a substantive advancemen

关键词： Semantic Segmentation

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