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Microarrow sensor array with enhanced skin adhesion for transdermal continuous monitoring of glucose and reactive oxygen species

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Bio-Design and Manufacturing 2024年第1期7卷 14-30页

作者： Xinshuo Huang Baoming Liang Shantao Zheng Feifei Wu Mengyi He Shuang Huang Jingbo Yang Qiangqiang Ouyang Fanmao Liu Jing Liu Hui-jiuan Chen Xi Xie State key laboratory of Optoelectronic Materials and technologies School of Electronics and Information TechnologyGuangdong Province Key Laboratory of Display Material and TechnologySun Yat-Sen UniversityGuangzhou 510006China School of Biomedical Engineering Sun Yat-Sen UniversityShenzhen 518107China Pazhou Lab Guangzhou 510330China The First Affiliated Hospital of Sun Yat-Sen University Guangzhou 510006China

Conventional blood sampling for glucose detection is prone to cause pain and fails to continuously record glucose fluctuations in vivo.Continuous glucose monitoring based on implantable electrodes could induce pain and potential tissue inflammation,and the presence of reactive oxygen species(ROS)due to inflammationmay affect glucose detection.Microneedle technology is less invasive,yet microneedle adhesion with skin tissue is limited.In this work,we developed a microarrow sensor array(MASA),which provided enhanced skin surface adhesion and enabled simultaneous detection of glucose and H_(2)O_(2)(representative of ROS)in interstitial fluid in vivo.The microarrows fabricated via laser micromachining were modified with functional coating and integrated into a patch of a three-dimensional(3D)microneedle array.Due to the arrow tip mechanically interlocking with the tissue,the microarrow array could better adhere to the skin surface after penetration into skin.The MASA was demonstrated to provide continuous in vivo monitoring of glucose and H_(2)O_(2) concentrations,with the detection of H_(2)O_(2) providing a valuable reference for assessing the inflammation state.Finally,the MASA was integrated into a monitoring system using custom circuitry.This work provides a promising tool for the stable and reliable monitoring of blood glucose in diabetic patients.

关键词： Microarrow sensor array Glucose sensing Reactive oxygen species sensing Integrated system Continuous monitoring

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Artificial intelligence-driven radiomics study in cancer:the role of feature engineering and modeling

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Military medical Research 2024年第1期11卷 115-147页

作者： Yuan-Peng Zhang Xin-Yun Zhang Yu-Ting Cheng Bing Li Xin-Zhi Teng Jiang Zhang Saikit Lam Ta Zhou Zong-Rui Ma Jia-Bao Sheng Victor CWTam Shara WYLee Hong Ge Jing Cai Department of medical Informatics Nantong UniversityNantong 226001JiangsuChina Department of Health Technology and Informatics the Hong Kong Polytechnic UniversityHong Kong 999077China The Hong Kong Polytechnic University shenzhen Research Institute Shenzhen 518000GuangdongChina Department of Radiation Oncology the Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer HospitalZhengzhou 450008China

Modern medicine is reliant on various medical imaging technologies for non-invasively observing patients’anatomy.However,the interpretation of medical images can be highly subjective and dependent on the expertise of clinicians.Moreover,some potentially useful quantitative information in medical images,especially that which is not visible to the naked eye,is often ignored during clinical practice.In contrast,radiomics performs high-throughput feature extraction from medical images,which enables quantitative analysis of medical images and prediction of various clinical endpoints.Studies have reported that radiomics exhibits promising performance in diagnosis and predicting treatment responses and prognosis,demonstrating its potential to be a non-invasive auxiliary tool for personalized medicine.However,radiomics remains in a developmental phase as numerous technical challenges have yet to be solved,especially in feature engineering and statistical modeling.In this review,we introduce the current utility of radiomics by summarizing research on its application in the diagnosis,prognosis,and prediction of treatment responses in patients with cancer.We focus on machine learning approaches,for feature extraction and selection during feature engineering and for imbalanced datasets and multi-modality fusion during statistical modeling.Furthermore,we introduce the stability,reproducibility,and interpretability of features,and the generalizability and interpretability of models.Finally,we offer possible solutions to current challenges in radiomics research.

关键词： Artificial intelligence Radiomics Feature extraction Feature selection Modeling Interpretability Multimodalities Head and neck cancer

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Polarimetry feature parameter deriving from Mueller matrix imaging and auto-diagnostic signicance to distinguish HSIL and CSCC

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Journal of Innovative Optical Health Sciences 2022年第1期15卷 17-28页

作者： Anli Hou Xingjian Wang Yujuan Fan Wenbin Miao Yang Dong Xuewu Tian Jibin Zou Hui Ma shenzhen key laboratory for minimal invasive medical technologies Guangdong Engineering Center of Polarization Imaging and Sensing Technology Tsinghua shenzhen International Graduate School Tsinghua University Shenzhen 518055P.R.China Department of Gynaecology University of Chinese Academy of Sciences shenzhen Hospital shenzhen 518106 P.R.China Center for Precision Medicine and Healthcare Tsinghua-Berkeley shenzhen Institute Tsinghua University Shenzhen 518071P.R.China Department of Physics Tsinghua University Beijing 100084P.R.China Department of Pathology University of Chinese Academy of Sciences shenzhen Hospital shenzhen 518106 P.R.China

High-grade squamous intraepithelial lesion(HSIL)is regarded as a serious precancerous state of cervix,and it is easy to progress into cervical invasive carcinoma which highlights the importance of earlier diagnosis and treatment of cervical lesions.Pathologists examine the biopsied cervical epithelial tissue through a microscope.The pathological examination will take a long time and sometimes results in high inter-and intra-observer variability in outcomes.Polarization imaging techniques have broad application prospects for biomedical diagnosis such as breast,liver,colon,thyroid and so on.In our team,we have derived polarimetry feature parameters(PFPs)to characterize microstructural features in histological sections of breast tissues,and the accuracy for PFPs ranges from 0.82 to 0.91.Therefore,the aim of this paper is to distinguish automatically microstructural features between HSIL and cervical squamous cell carcinoma(CSCC)by means of polarization imaging techniques,and try to provide quantitative reference index for patho-logical diagnosis which can alleviate the workload of pathologists.Polarization images of the H&E stained histological slices were obtained by Mueller matrix microscope.The typical path-ological structure area was labeled by two experienced pathologists.Calculate the polarimetry basis parameter(PBP)statistics for this region.The PBP statistics(stat PBPs)are screened by mutual information(MI)method.The training method is based on a linear discriminant analysis(LDA)classier whichnds the most simplied linear combination from these stat PBPs and the accuracy remains constant to characterize the specic microstructural feature quantitatively in cervical squamous epithelium.We present results from 37 clinical patients with analysis regions of cervical squamous epithelium.The accuracy of PFP for recognizing HSIL and CSCC was 83.8%and 87.5%,respectively.This work demonstrates the ability of PFP to quantitatively charac-terize the cervical squamous epithelial lesions in the H&E pathological sections.Si

关键词： Polarimetry basis parameter(PBP) polarimetry feature parameter(PFP) linear discriminant analysis(LDA) mutual information(MI) high-grade squamous intraepithelial le-sion(HSIL) cervical squamous cell carcinoma(CSCC).

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Toward broad optimal output bandwidth dielectric elastomer actuators

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Science China(Technological Sciences) 2022年第5期65卷 1137-1148页

作者： CAO ChongJing CHEN LiJin LI Bo CHEN GuiMin NIE ZeDong WANG Lei GAO Xing Research Centre for medical Robotics and minimally invasive Surgical Devices Shenzhen Institute of Advanced Technology(SIAT)Chinese Academy of SciencesShenzhen518055China Shaanxi key laboratory of Intelligent Robots School of Mechanical EngineeringXi’an Jiaotong UniversityXi’an710049China

Dielectric elastomer actuators(DEAs)are one of the most promising soft actuation technologies owing to their relatively high power density and electromechanical efficiency enabled by a resonant actuation technique.However,existing DEA designs suffer from a very narrow optimal output bandwidth close to resonance and poor output control capability due to their fixed geometrical configurations.This condition greatly limits their applications in programmable actuation and broad-bandwidth applications.Accordingly,this work developed a novel resonance tunable DEA(RTDEA)design for broad-optimal-output actuation bandwidths that is enabled by an integration of a stiffness and voltage control strategy.This design features a broad resonant frequency adjustment from 84 to 126 Hz and independent tunings of its resonant amplitude and frequency.Parametric studies were conducted to illustrate the fundamental principles behind the resonance tuning strategy,and optimization was performed to maximize the tuning capability.Here,a resonance tuning control strategy is proposed to achieve accurate adjustments of the RTDEA’s resonance based on the stiffness and voltage control strategy.These resonance tunable soft actuators are envisioned to greatly expand DEAs’applications in,for instance,soft robotic locomotion,human–robot communication,and active vibrational control with demands of broad actuation bandwidths and high output performance.

关键词： dielectric elastomer actuators soft robotics soft actuators resonance tuning resonant actuation

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POLARIZATION IMAGING AND SCATTERING MODEL OF CANCEROUS LIVER TISSUES

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Journal of Innovative Optical Health Sciences 2013年第3期6卷 91-98页

作者： DONGZHI LI HONGHUI HE NAN ZENG E DU RAN LIAO YONGHONG HE HUI MA shenzhen key laboratory for minimal invasive medical technologies Graduate School at shenzhen Tsinghua University Shenzhen 518055P.R.China Department of Physics Tsinghua University Beijing 100084P.R.China

We apply diferent polarization imaging techniques for cancerous liver tissues,and compare the relative contrasts for difference polarization imaging(DPI),degree of polarization imaging(DOPI)and rotating linear polarization imaging(RLPI).Experimental results show that a number of polarization imaging parameters are capable of differentiating cancerous cells in isotropic liver tisues.To analyze the contrast mechanism of the cancer:-sensitive polarization imaging parameters,we propose a scattering model cont aining two types of spherical scatterers and carry on Monte Carlo simula tions based on this bi-component model.Both the experimental and Monte Carlo simulated results show that the RLPI technique can provide a good imaging contrast of cancerous tissues.The bi-component scattering model provides a useful tool to ana-lyze the contrast mechanism of polarization imaging of cancerous tissues.

关键词： Polarization imaging liver cancerous tisues sca tering model Monte Carlo si mul ation

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Advances and prospects of triboelectric nanogenerator for self-powered system

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International Journal of Smart and Nano Materials 2021年第3期12卷 233-255页

作者： Xuyao An Chunnan Wang Ruomei Shao Shuqing Suna shenzhen key laboratory for minimal invasive medical technologies Institute of Optical Imaging and SensingDepartment of Biomedical EngineeringShenzhen International Graduate SchoolTsinghua UniversityShenzhenChina Department of Physics Tsinghua UniversityBeijing China

Self-powered technology is a novel power supply technology.In recent years,self-powered intelligent products have attracted much interests.Triboelectric nanogenerators(TENGs)can convert mechanical energy into electrical energy by contact and relative motion,thus providing the possibility of self-powering for electronic equipments.However,TENG-based self-powered technologies are limited by low power output and poor conversion efficiency.In this review,we present the development of TENG-based self-powered systems,with the emphasis on the output power of TENG and how to improve it.Based on the above applications,we propose the idea of TENG-driven self-powered remote robots,providing promising scenarios of small remote robots for land rescue or underwater detection.Due to the limited power output of the current TENGs,there are still some difficulties in driving the robot.Aiming at the problems of low power supply and poor conversion efficiency,we introduce the current attempts to improve the power generation efficiency from the perspectives of mechanical structure,electrode materials and auxiliary tools.We also outline the applications of TENGs as power supply systems in various fields such as sensing,wearable devices,and collecting Marine energy.Finally,we forecast the development prospect of TENG.

关键词： Triboelectric nanogenerator self-power sensors remote robots

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Reduced aliasing artifacts using shaking projection k-space sampling trajectory

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Chinese Physics B 2014年第3期23卷 656-662页

作者：朱艳春杜江杨文超段侪杰王浩宇高嵩包尚联 Beijing key laboratory of medical Physics and Engineering School of Physics Peking University Department of Radiology University of California Institute of Computational Physics and Complex Systems Lanzhou University shenzhen key laboratory for minimal invasive medical technologies Tsinghua University medical Imaging Physics laboratory Health Science Center of Peking University

Radial imaging techniques, such as projection-reconstruction （PR）, are used in magnetic resonance imaging （MRI） for dynamic imaging, angiography, and short-T2 imaging. They are less sensitive to flow and motion artifacts, and support fast imaging with short echo times. However, aliasing and streaking artifacts are two main sources which degrade radial imaging quality. For a given fixed number of k-space projections, data distributions along radial and angular directions will influence the level of aliasing and streaking artifacts. Conventional radial k-space sampling trajectory introduces an aliasing artifact at the first principal ring of point spread function （PSF）. In this paper, a shaking projection （SP） k-space sampling trajectory was proposed to reduce aliasing artifacts in MR images. SP sampling trajectory shifts the projection alternately along the k-space center, which separates k-space data in the azimuthal direction. Simulations based on conventional and SP sampling trajectories were compared with the same number projections. A significant reduction of aliasing artifacts was observed using the SP sampling trajectory. These two trajectories were also compared with different sampling frequencies. ASP trajectory has the same aliasing character when using half sampling frequency （or half data） for reconstruction. SNR comparisons with different white noise levels show that these two trajectories have the same SNR character. In conclusion, the SP trajectory can reduce the aliasing artifact without decreasing SNR and also provide a way for undersampling recon- struction. Furthermore, this method can be applied to three-dimensional （3D） hybrid or spherical radial k-space sampling for a more efficient reduction of aliasing artifacts.

关键词： shaking projection radial sampling gridding reconstruction point spread function

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Oxygen-deficient metal oxides:Synthesis routes and applications in energy and environment

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Nano Research 2019年第9期12卷 2150-2163页

作者： Di Zu Haiyang Wang Sen Lin Gang Ou Hehe Wei Shuqing Sun Hui Wu Institute of Optical Imaging and Sensing Shenzhen Key Laboratory for Minimal Invasive Medical TechnologiesGraduate School at ShenzhenTsinghua UniversityShenzhen 518055China State key laboratory of New Ceramics and Fine Processing School of Materials Science and EngineeringTsinghua UniversityBeijing 100084China Department of Physics Tsinghua UniversityBeijing 100084China

Oxyge n vaca ncies impla ntation is an efficie nt way to adjust the physical and chemical properties of metal oxide nano materials to meet the requirements for particular applications.Through reasonable defects design,oxyge-deficient metal oxides with excellent optical and electrical properties are widely applied for environmental protection and energy uses.This review discusses recent advances in synthetic approaches of oxygervdeficient metal oxides and their applications in photocatalysis,electrocatalysis,and energy storage devices.The perspectives of oxyge n?deficie nt metal oxides for increased en ergy dema nd and en vironme ntal sustai liability are also exami ned.

关键词： oxygen vacancies metal oxides synthesis routes energy and environment

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QUANTITATIVE MUELLER MATRIX POLARIMETRY TECHNIQUES FOR BIOLOGICAL TISSUES

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Journal of Innovative Optical Health Sciences 2012年第3期5卷 34-40页

作者： HONGHUI HE NAN ZENG DONGZHI LI RAN LIAO HUI MA shenzhen key laboratory for minimal invasive medical technologies shenzhen 518055 P.R.China laboratory of Optical Imaging and Sensing Graduate School at Shenzhen Tsinghua UniversityShenzhen 518055P.R.China Department of Physics Tsinghua University Beijing 100084P.R.China

We propose and conduct both the rotating linear polarization imaging(RLPI)and Mueller matrix transformation(MMT)measurements of different biological tissue samples,and testify the capability of the Mueller matrix polarimetry for the anisotropic scattering media.The independent parameters extracted from the RLPI and MMT techniques are compared and analyzed.The tissue experimental results show that the parameters are closely related to the structural characteristics of the turbid scattering media,including the sizes of the scatterers,the angular distribution and order of alignment of thefibers.The results and conclusions in this paper may provide a potential method for the detection of precancerous and early stage cancerous tissues.Also,such studies represent the Mueller matrix transformation procedure which results in a set of parameters linking up the Mueller matrix elements to the structural and optical properties of the media.

关键词： Polarization scattering Mueller matrix biological tissues

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Silicon nanoparticles: Preparation, properties, and applications

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Chinese Physics B 2014年第8期23卷 23-36页

作者：常欢孙树清 shenzhen key laboratory for minimally invasive medical technologies Graduate School at Shenzhen Tsinghua University Department of Biomedical Engineering Tsinghua University

Silicon nanoparticles have attracted great attention in the past decades because of their intriguing physical properties, active surface state, distinctive photoluminescence and biocompatibility. In this review, we present some of the recent progress in preparation methodologies and surface functionalization approaches of silicon nanoparticles. Further, their promising applications in the fields of energy and electronic engineering are introduced.

关键词： silicon nanoparticle quantum confinement effect optical performance

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