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Photosensitizer-assisted direct 2D patterning and 3D printing of colloidal quantum dots

Nano Research 2024年第12期17卷 10460-10466页

作者： Wenyue Qing Yilong Si Mingfeng Cai Likuan Zhou Longjia Wu Zhengwei Hou Dan Liu Xiaoli Tian Wangyu Liu Linhan Lin Hao Zhang Department of Chemistry Center for BioAnalytical ChemistryKey Laboratory of Bioorganic Phosphorus Chemistry&Chemical Biology(Ministry of Education)Tsinghua UniversityBeijing 100084China TCL Research Shenzhen 518067China Key Laboratory of Advanced Materials(MOE) School of Materials Science and EngineeringTsinghua UniversityBeijing 100084China State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision InstrumentsTsinghua UniversityBeijing 100084China

Direct photopatterning is a powerful strategy for patterning colloidal quantum dots(QDs)for their integration in various electronic and optoelectronic ***,ultraviolet(UV)exposure required for QD patterning,especially those with short wavelength(e.g.,deep UV light),can degrade the photo-,and electroluminescence,and other properties of patterned *** we develop a photosensitizer-assisted approach for direct photopatterning of QDs with h-line(centered at 405 nm)UV light and better preservation of their luminescent *** approach uses a photosensitizer that can absorb the h-line UV light and transfer the energy to activate bisazide-based crosslinkers via Dexter energy ***,high-resolution(smallest feature size,2μm),and full-color patterns of red,green,and blue QD layers can be *** patterned QD layers maintain up to~90%of their original photoluminescent quantum yields,comparing favorably with those(<60%)of QDs patterned without *** further extended the strategy to the direct three-dimensional(3D)printing of *** photosensitizerassisted approach offers a new way for direct two-dimensional(2D)photopatterning and 3D printing of colloidal QDs,with implications in building high-performance QD optoelectronic devices.

关键词： direct photopatterning quantum dots photosensitizer Dexter energy transfer three-dimensional(3D)printing

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Thermal constraint control of reversible solid oxide cell for optimal system efficiency

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International Journal of Hydrogen Energy 2025年 134卷 198-211页

作者： Xu, Yuanwu Yin, Jie Wang, Jingjing Wu, Xiao-long Peng, Jingxuan Tang, Ruifeng Zou, Suhang Fu, Xiaowei Li, Xi School of Artificial Intelligence and Automation Wuhan University of Science and Technology Hubei Wuhan430081 China School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent Control of Education Ministry Huazhong University of Science and Technology Hubei Wuhan430074 China School of Information Engineering Nanchang University Jiangxi Nanchang330031 China School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore China-Poland Belt and Road Joint Laboratory on Measurement and Control Technology Huazhong University of Science and Technology Hubei Wuhan430074 China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen518055 China

Reversible solid oxide cell (RSOC) demonstrates considerable promise in multimodal energy conversion architectures, particularly as a technology for hydrogen-based energy storage systems. Nevertheless, under dynamic operating regimes with time-varying current inputs, realizing time-efficient and reliable transitions to steady-state operation remains difficult. This difficulty arises from the intricate coupling of thermal, electrical, and gaseous processes within the RSOC system. This study aims to address these challenges by developing a 5 kW mathematical model of the RSOC system. The proposed model enables systematic investigation of thermal safety issues arising during current switching operations while introducing a thermal constraint control strategy to enhance both system efficiency and thermal safety performance. This efficiency-driven study employs the Grid Search algorithm to identify optimal steady-state operating points for the RSOC system, ensuring strict adherence to safety constraints across varying current inputs. Furthermore, by integrating the pre-identified optimal operating points as feedforward control with Model Predictive Control (MPC)-based feedback correction, this hybrid strategy effectively mitigates stack temperature gradient overshoot while synchronously ensuring optimal system efficiency throughout current transition processes. Under simulated variable current inputs, the proposed RSOC system model and control strategy demonstrate the capability to constrain stack temperature gradient overshoot within 2.3K while enhancing transient efficiency by 5 %–8 %, achieving a peak system efficiency of 85 %. It provides a novel methodology for safe and efficient working with intermittent renewable energy. © 2025 Hydrogen Energy Publications LLC

关键词： Thermal variables control

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Welding depth measurement for different mode lasers using optical coherence tomography

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Chinese Optics Letters 2024年第1期22卷 41-46页

作者：谢冠明王三宏张跃强李由胡彪傅愉于起峰 Institute of Intelligent Optical Measurement and Detection Shenzhen UniversityShenzhen 518060China College of Physics and Optoelectronic Engineering Shenzhen UniversityShenzhen 518060China Shenzhen Sincevision Technology Co. Ltd.Shenzhen 518055China National Key Laboratory of Human Factors Engineering China Astronaut Research and Training CenterBeijing 100094China College of Aerospace Science and Engineering National University of Defense TechnologyChangsha 410073China

Optical coherence tomography(OCT)allows a direct and precise measurement of laser welding depth by coaxially measuring the keyhole depth and can be used for process monitoring and *** OCT measurement was taken during single-beam laser welding,the keyhole instability of aluminum welding resulted in highly scattered OCT data and complicated the welding depth extraction *** a combination of an inner core beam and an outer ring beam,a novel adjustable ring mode(ARM)laser for producing a stable keyhole was applied to the OCT *** ARM laser power arrangements were conducted on aluminum and *** results indicated that the ring beam greatly improved the stability of the core beam-induced keyhole,and smooth welding depth can be extracted from the concentrated OCT data.

关键词： optical coherence tomography adjustable ring mode laser laser welding welding depth

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Dissecting the contributions of organic nitrogen aerosols to global atmospheric nitrogen deposition and implications for ecosystems

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National Science Review 2023年第12期10卷 124-136页

作者： Yumin Li Tzung-May Fu Jian Zhen Yu Xu Yu Qi Chen Ruqian Miao Yang Zhou Aoxing Zhang Jianhuai Ye Xin Yang Shu Tao Hongbin Liu Weiqi Yao Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks School of Environmental Science and Engineering Southern University of Science and Technology Guangdong Provincial Observation and Research Station for Coastal Atmosphere and Climate of the Greater Bay Area Southern University of Science and Technology Division of Environment and Sustainability Hong Kong University of Science and Technology National Center for Applied Mathematics Shenzhen Department of Chemistry Hong Kong University of Science and Technology State Key Joint Laboratory of Environmental Simulation and Pollution Control International Joint Laboratory for Regional Pollution Control College of Environmental Sciences and Engineering Peking University Frontier Science Center for Deep Ocean Multispheres and Earth System and Physical Oceanography Laboratory Ocean University of China College of Oceanic and Atmospheric Sciences Ocean University of China Department of Ocean Science Hong Kong University of Science and Technology Department of Ocean Science and Engineering Southern University of Science and Technology

Atmospheric deposition of particulate organic nitrogen（ONp） is a significant process in the global nitrogen cycle and may be pivotally important for N-limited ***,past models largely overlo oked the spatial and chemical inhomogeneity of atmospheric ONpand were thus deficient in assessing global *** constructed a comprehensive global model of atmospheric gaseous and particulate organic nitrogen（ON）,including the latest knowledge on emissions and secondary *** this model,we simulated global atmospheric ONpabundances consistent with *** estimated global atmospheric ON deposition was 26 Tg N yr-1,predominantly in the form of ONp(23 Tg N yr-1)and mostly from wildfires（37%）,oceans（22%） and aqueous productions（17%）.Globally,ONpcontributed as much as 40% to 80% of the total N deposition downwind of biomass-burning *** ONpdeposition thus constituted the dominant external N supply to the N-limited boreal forests,tundras and the Arctic Ocean,and its importance maybe amplified in a future warming climate.

关键词： organic nitrogen aerosol secondary organic nitrogen biomass burning

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A dual-modality imaging method based on polarimetry and second harmonic generation 2

A dual-modality imaging method based on polarimetry and seco...

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2nd Conference on Biomedical Photonics and Cross-Fusion, BPC 2023

作者： Shi, Yuzhu He, Honghui Ma, Hui Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology Shenzhen Key Laboratory for Minimal Invasive Medical Technologies Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China Department of Physics Tsinghua University Beijing100084 China

ISBN: (数字)9781510667556

ISBN: (纸本)9781510667549

Characterization of skin tissue structures play a crucial role diagnosis of skin diseases. Recently, the utilization of Mueller matrix polarimetry and second harmonic generation microscopy in skin tissue imaging has gained significant popularity. However, it is difficult to evaluate comprehensive structural characteristics of complex layered skin tissue by a single imaging modality. Therefore, we propose a dual-modality imaging method, combining second harmonic generation microscopy and Mueller matrix polarimetry, to differentiate automatically and evaluate layered skin tissue quantitatively. It is proved that the dual-modality method has the ability to divide the mouse tail skin tissue specimens into three layers of dermis, epidermis and stratum corneum. Then, the texture feature vector, extracted by gray level co-occurrence matrix, is applied to quantitatively characterize the structural features of each layer. Finally, we propose an index named S-Health based on cosine similarity and the texture feature vector for quantitative measurement of the structural differences between injured and normal skin tissue in different layers. Experiments demonstrate that the potential of dual-modality imaging method to identify the structures of layered skin tissue and quantitatively evaluate damage. It strongly affirms the tremendous application prospects of the proposed approach for dermatopathology. © 2023 SPIE.

关键词： Polarimeters

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Evaluating tissue mechanical properties using Mueller matrix polarimetry 2

Evaluating tissue mechanical properties using Mueller matrix...

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2nd Conference on Biomedical Photonics and Cross-Fusion, BPC 2023

作者： Fan, Jiahao He, Honghui Ma, Hui Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology Shenzhen Key Laboratory for Minimal Invasive Medical Technologies Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China Department of Physics Tsinghua University Beijing100084 China

ISBN: (数字)9781510667556

ISBN: (纸本)9781510667549

Evaluating tissue mechanical properties is an important issue in the biomedical field. While traditional in vitro tissue deformation experiments have been used to measure mechanical properties, optical methods are becoming increasingly popular due to their non-invasive and non-contact advantages. In this study, we selected bovine tendon tissue as our experimental material. We stretched the bovine tendon tissue to varying degrees and performed Mueller matrix polarization imaging, enabling us to examine changes in both structural information and optical properties. Next, we conducted frequency distribution statistics on the Mueller matrix elements of bovine tendon tissue in different states and extracted the Mueller matrix transformation parameters to quantitatively characterize their structural differences. For better discrimination of tendon tissues under different stretching states, we trained an image classification neural network using the derived MMT parameters as input. Ultimately, we obtained a highly accurate model with 90% precision. © 2023 SPIE.

关键词： Polarimeters

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Automatic detection and quantitative evaluation of skin hair follicles based on Mueller matrix polarimetry

Automatic detection and quantitative evaluation of skin hair...

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Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 2023

作者： Hao, Rui Zhang, Zheng He, Honghui Ma, Hui Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology Shenzhen Key Laboratory for Minimal Invasive Medical Technologies Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China Department of Physics Tsinghua University Beijing100084 China

ISBN: (纸本)9781510658691

Recently, Mueller matrix polarimetry has received increasing attention in the field of biophotonics, because of its great potential for non-invasive, label-free detection of microstructural and optical properties of biomedical samples. In this study, we propose a method for automatic identification and quantitative evaluation of skin hair follicle structure based on Mueller matrix polarimetry combined with the K-means clustering machine learning algorithm. First, we use the transmission Mueller matrix microscope to measure the rat skin tissue sections with hair follicles. Then we derive the Mueller matrix transformation (MMT) parameters images to reveal the characteristics of the birefringent skin hair follicle structure. By taking the MMT parameters images as the identification objects, we adopt the K-means clustering algorithm to segment them and carry out image denoising processing to achieve the automatic detection of the hair follicle structure. Finally, to identify the hair follicle structure quantitatively and accurately, we conduct a comprehensive evaluation of five indexes including quantity, area, position, long axis, and short axis of the recognized regions. The results show that the method presented in this study can realize the automatic identification and quantitative evaluation of skin hair follicle structures, having great potential for the detection and clinical diagnosis of skin structures. © 2023 SPIE.

关键词： K-means clustering

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Comparative study of the influence of imaging resolution on polarization properties derived from Mueller matrix

Comparative study of the influence of imaging resolution on ...

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Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 2023

作者： Zhang, Yuxin Shao, Conghui He, Honghui Ma, Hui Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology Shenzhen Key Laboratory for Minimal Invasive Medical Technologies Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China Department of Physics Tsinghua University Beijing100084 China

ISBN: (纸本)9781510658691

For pathological diagnosis using optical microscopes, imaging speed and resolution are two important considerations. Usually, the improvement of imaging resolution will reduce the field of view and greatly extend the imaging time. Recently, studies have shown that some polarization information obtained from Mueller matrix connecting with structural features can be preserved under relatively low imaging resolution. Here, to systematically investigate the influence of imaging resolution on polarization properties derived from Mueller matrix, we first perform transmission Mueller matrix microscopic imaging on the unstained rat dorsal skin tissue samples, which have rich fibrous structures. Then, we carry out quantitative analysis using the statistics and the image texture feature parameters to compare the Mueller matrix polarimetric parameters images at different resolutions. The results show that, compared with the traditional non-polarized microscopic images, the Mueller matrix polarimetric parameters, which can characterize the fiber density information of the sample, are less sensitive to the imaging resolution, while other polarimetric parameters derived from the Mueller matrix related to the particle sizes still need high resolution to provide accurate structural information. This study demonstrates that it is possible to consider both imaging resolution and speed when using Mueller matrix polarimetry for tissue detection, and proposes relevant criteria to meet the above requirements, which is of great significance for application scenarios that need accurate and high-speed optical measurement. © 2023 SPIE.

关键词： Polarimeters

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Mueller matrix imaging with improved resolution by deep learning method 17

Mueller matrix imaging with improved resolution by deep lear...

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17th International Conference on Photonics and Imaging in Biology and Medicine, PIBM 2024

作者： Yi, Ao Zeng, Nan He, Honghui Ma, Hui Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology Shenzhen Key Laboratory for Minimal Invasive Medical Technologies Institute of Optical Imaging and Sensing Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China Tsinghua Shenzhen International Graduate School Tsinghua University Beijing100084 China Department of Physics Tsinghua University Beijing100084 China

ISBN: (数字)9781510688070

ISBN: (纸本)9781510688063

Polarization imaging is widely applied in the biomedical field. Mueller matrix imaging is an effective way to extract optical properties of biomedical samples. The mainstream technology is to use division of focus plane (DoFP) system to obtain Mueller matrix images, because Mueller matrix microscope based on dual division of focal plane (DOFP) polarimeters can realize fast full polarization imaging. However, DoFP system has a trade-off between resolution and imaging speed. Although using high numerical aperture objectives can improve resolution, it leads to a decrease of the field of view. To address this issue, we propose a deep learning network named MMRE-GAN(Mueller Matrix Resolution Enhancement GAN), aimed at improving the resolution of Mueller matrix images while also keeping the big field of view of low numerical aperture objectives. Our method does not require paired images and effectively improves the resolution of Mueller matrix images through generative adversarial networks (GANs). In detail, we used a dual division of focal plane (DoFP) polarimeters-based full Mueller matrix microscope (DoFPs-MMM) to quickly get the Mueller matrix images of thyroid slices. Then we used the dataset to validate the effectiveness of MMRE-GAN. The results show that our method successfully improves the resolution of Mueller matrix images while keeping the field of view in 4x objective, meaning a shortened scanning time for the whole slides.. And our method also enhances the details and signal-to-noise ratio of imaging. It provides support for the application of DoFPs-MMM in biomedical imaging. © 2025 SPIE.

关键词： Polarimeters

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Effective CO_(2)activation of enriched oxygen vacancies for photothermal CO_(2)methanation

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Journal of Materials Science & technology 2024年第22期189卷 203-210页

作者： Peipei Du Guoqiang Deng Zhonghua Li Junchuan Sun Lu Wang Yongqiang Yang Jun Wang Yaguang Li Xiaoming Xu Yuanming Zhang Wangxi Liu Gang Liu Zhigang Zou Zhaosheng Li Collaborative Innovation Center of Advanced Microstructures National Laboratory of Solid State MicrostructuresCollege of Engineering and Applied SciencesNanjing UniversityNanjing 210093China Jiangsu Key Laboratory of Nano Technology Nanjing UniversityNanjing 210093China Shenyang National Laboratory for Materials Science Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China School of Science and Engineering The Chinese University of Hong KongShenzhen 518172China Research Center for Solar Driven Carbon Neutrality Engineering Research Center of Zero-carbon Energy Buildings and Measurement TechniquesMinistry of EducationThe College of Physics Science and TechnologyInstitute of Life Science and Green DevelopmentHebei UniversityBaoding 071002China

Oxygen vacancies have been widely concerned with the facilitation effects of CO_(2)activation for CO_(2)***,little attention has been paid to the generation of active intermediate species induced by enriched oxygen ***,we discovered that CeNiO_(3−δ)catalyst enriched oxygen vacancies can efficiently activate CO_(2)and realize high activity for photothermal CO_(2)*** situ diffuse reflectance infrared Fourier transform spectroscopy(DRIFTS)proved that oxygen vacancies are beneficial to the formation of reactive intermediate species of polydentate carbonate over CeNiO_(3−δ),which is crucial for efficient CO_(2)*** results revealed mechanistic insights into how effective CO_(2)activation induced by oxygen vacancies can be manipulated by adjusting the adsorption intermediate species.

关键词： Oxygen vacancies CO_(2)activation Active intermediate species Photo-thermal CO_(2)methanation CeNiO_(3)

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