Article
Engineering, Multidisciplinary
Mohammad Amir Sattari, Gholam Hossein Roshani, Robert Hanus, Ehsan Nazemi
Summary: The study successfully utilized simulation and signal processing techniques to extract features from a two-phase flow meter and identify flow regime types with high precision, leading to accurate gas volumetric percentage measurements.
Article
Spectroscopy
Guosheng Zhang, He Hao, Yichen Wang, Ying Jiang, Jinhui Shi, Jing Yu, Xiaojuan Cui, Jingsong Li, Sheng Zhou, Benli Yu
Summary: An improved S-G filtering algorithm, combined with a deep learning network for real-time adjustment, effectively addresses the issue of blindly selecting filter parameters in digital signal processing. Compared to the MAF algorithm, the optimized S-G filtering algorithm demonstrates better performance in gas detection, with a sensitivity enhancement factor of 5.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Multidisciplinary Sciences
Saied M. Abd El-atty, Eman S. Attia, Ashraf A. M. Khalaf, Fathi E. Abd El-Samie, Farid Shawki
Summary: The authors propose an efficient nanosystem based on molecular communication technology, which uses molecular diffusion for exchanging biochemical signals in aqueous media. The nanosystem-based MCvD has applications in targeted drug delivery and healthcare monitoring. The proposed SG filter significantly improves the performance of the nanosystem-based molecular communication by reducing counting noise.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Environmental Sciences
Kee-Won Seong, Jang Hyun Sung
Summary: The study proposed a method based on the SG filter to cope with oscillatory S-curves, which significantly reduces oscillation problems on the UH and IUH compared to traditional methods and has minimal impact on hydrograph properties. High levels of model performance criteria were demonstrated under storm data, suggesting potential scale issues for small watershed areas.
Article
Engineering, Mechanical
D. Abboud, Y. Marnissi, A. Assoumane, Y. Hawwari, M. Elbadaoui
Summary: This paper discusses the importance of accurately estimating synchronous signal components in vibration-based health monitoring, introducing global and local synchronous fitting methods. The local approach demonstrates superior performance in vibration signal analysis.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Chemistry, Physical
John T. Grant
Summary: This paper discusses corrections for the effects of analyzer modulation on peak intensity in derivative Auger spectra, emphasizing the use of the Savitzky-Golay algorithm and dynamic background subtraction for improved quantification. By studying the number of data points used with the algorithm in taking the derivative, the paper shows how to obtain Auger peak area values independent of the broadening of spectra caused by differentiation.
SURFACE AND INTERFACE ANALYSIS
(2022)
Article
Construction & Building Technology
Hadi Kordestani, Chunwei Zhang, Sami F. Masri, Mahdi Shadabfar
Summary: This paper presents a trend line-based signal decomposition algorithm for bridge health monitoring, aiming to improve accuracy and effectiveness. The algorithm decomposes the input signal into components and generates a residual signal to store noise. By numerical and experimental examples, as well as a damage localization case study, the algorithm's effectiveness is validated.
STRUCTURAL CONTROL & HEALTH MONITORING
(2021)
Article
Geography, Physical
Xinkai Liu, Lingyun Ji, Chen Zhang, Yanhui Liu
Summary: In this study, a robust reconstruction method based on envelope detection and the Savitzky-Golay filter (ED-SG) was developed to reduce noise in the NDVI time-series. The experimental results showed significant improvements in robustness and smoothness of the reconstructed time-series metrics compared to conventional methods.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2022)
Article
Instruments & Instrumentation
Andrzej J. J. Kalka, Andrzej M. M. Turek
Summary: The Savitzky-Golay filter concept, proposed by Savitzky and Golay, is an elegant and effective tool in spectra processing. Despite its limitations, it has become widely adopted and is considered superior to alternative approaches in many fields.
APPLIED SPECTROSCOPY
(2023)
Article
Green & Sustainable Science & Technology
Ram Kumar Singh, Vinay Shankar Prasad Sinha, Pawan Kumar Joshi, Manoj Kumar
Summary: This study introduces a method for mapping land use and land cover using remote sensing data, utilizing a multinomial logit model (Mnlogit) to classify MODIS-derived time-series data and achieving high accuracy. The results demonstrate that this method can effectively map LULC for a large area.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Article
Biodiversity Conservation
Yudan Yang, Fenglei Fan
Summary: In this study, long time series Land Surface Phenology (LSP) data from 2001 to 2020 of the Guangdong-Hong Kong-Macao Greater Bay Area were analyzed using MODIS NDVI. The results revealed significant spatial heterogeneity and annual variation trends in vegetation phenology, with delayed start of growing season (SOS), delayed end of growing season (EOS), and extended length of growing season (LOS). Preseason precipitation and solar radiation were identified as the main climatic factors influencing vegetation phenology in the Greater Bay Area.
ECOLOGICAL INDICATORS
(2023)
Article
Chemistry, Multidisciplinary
Chun-Yu Xu, Ru-Jia Yu, Xue Ni, Su-Wen Xu, Xi-Xin Fu, Yong-Jing Wan, Yi-Lun Ying, Yi-Tao Long
Summary: The study utilizes an envelope algorithm to analyze the current signals of single nanoparticle collisions, eliminating noise and accurately calculating integrated charges. The algorithm demonstrates practicality and robustness under high signal-to-noise ratio conditions, showing comparable performance to traditional Gaussian peak models for peak identification and charge calculation.
CHINESE JOURNAL OF CHEMISTRY
(2021)
Article
Engineering, Marine
Nina L. Brietman, Pinhas Z. Bar-Yoseph, Victoria Suponitsky
Summary: The aim of this study is to develop a robust finite element procedure for solving 2D and 3D nonlinear liquid sloshing dynamics modelled by standard potential theory. The paper compares various techniques to enhance stability and mitigate numerical oscillations, and chooses the most robust stabilized finite element formulation. The proposed post-processing method allows for recovering more accurate nodal values from conventional finite element solutions.
Article
Engineering, Electrical & Electronic
Kamrul Hasan, Muhammad Murtadha Othman, Sheikh Tanzim Meraj, Saad Mekhilef, Ahmad Farid Bin Abidin
Summary: This article introduces a novel reference current generation technique based on the Savitzky-Golay filter (SGF) for shunt active power filter (SAPF). It can generate a harmonic-free fundamental reference current that can improve the overall harmonic profile and performance compared to existing SAPFs.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Geochemistry & Geophysics
Wei Liu, He Wang, Zhenzhu Xi, Rongqing Zhang
Summary: Despite the challenges in directly inverting MT field data using deep learning, this study proposes a new method that applies a multiwindow Savitzky-Golay filter to smooth the MT field measurements before network prediction. The smoothed data is then fed into a trained network for inversion. The use of layered resistivity models and the proposed MWSG filter enables smooth inversion. The efficiency of MT DL inversion is improved by incorporating Swin Transformer, and a physics-informed version is implemented to enhance generalization capability. The proposed method is demonstrated in both synthetic and field MT cases, showing improved adaptability and practicability for inverse problems in MT surveys.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Optics
Jiaming Lyu, Jiaming Qian, Kailong Xu, Yuxia Huang, Chao Zuo
Summary: Structured illumination microscopy (SIM) is a significant super-resolution technique in bio-science for observing live-cell dynamics. This Letter proposes a robust motion-resistant SIM algorithm based on principal component analysis (mrPCA-SIM), which can efficiently compensate for nonuniform pixel shifts and phase errors in each raw illumination image. Experiments demonstrate that mrPCA-SIM achieves more robust imaging quality in complex, unstable conditions compared with conventional methods, promising a more compatible and flexible imaging tool for live cells.
Article
Optics
Bowen Wang, Sheng Li, Qian Chen, Chao Zuo
Summary: In this Letter, a new long-range synthetic aperture Fourier ptychographic imaging technique, named learning-based single-shot synthetic aperture imaging (LSS-SAI), is reported. LSS-SAI utilizes a camera array to capture low-resolution intensity images corresponding to different non-overlapping spectral regions, which are combined to reconstruct a high-quality super-resolved image using a physical model-based dual-regression deep neural network. Experimental results demonstrate improved peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) using LSS-SAI, and the demonstration of macroscopic Fourier ptychography to single-shot synthetic aperture imaging of dynamic events for the first time.
Article
Optics
Maria Cywinska, Konstanty Szumigaj, Michal Kolodziej, Krzysztof Patorski, Vicente Mico, Shijie Feng, Chao Zuo, Maciej Trusiak
Summary: This study addresses the advantages and disadvantages of different variational image decomposition (VID) models in the context of fringe pattern prefiltration, and proposes an unsupervised VID (uVID) algorithm for automatic, accurate, and robust preprocessing of diverse fringe patterns. The uVID algorithm introduces the use of a convolutional neural network (DeepVID) to determine the required number of iterations in the Chambolle projection algorithm, reducing the calculation time.
Article
Optics
Yao Fan, Jiasong Sun, Yefeng Shu, Zeyu Zhang, Qian Chen, Chao Zuo
Summary: Quantitative phase imaging (QPI) by differential phase contrast (DPC) with partially coherent illumination shows potential in biomedical imaging, with speckle-free imaging and improved lateral resolution. This paper analyzes the weak object approximation condition and provides a precise definition applicable to all samples and illumination apertures. An iterative deconvolution QPI technique based on pseudo-weak object approximation is proposed to overcome the limitations of DPC for large-phase samples without additional data acquisition. Experiments demonstrate the effectiveness of the proposed method for high-precision three-dimensional morphological characterization of large-phase technical and biological samples.
PHOTONICS RESEARCH
(2023)
Article
Chemistry, Multidisciplinary
Yongtao Liu, Jiajia Zhou, Shihui Wen, Fan Wang, Hongjun Wu, Qian Chen, Chao Zuo, Dayong Jin
Summary: Multiphoton upconversion super-resolution microscopy (MPUM) is a promising imaging modality that achieves increased resolution and penetration depth through the use of nonlinear near-infrared emission light. However, high excitation power is required for emission saturation, leading to increased phototoxicity. In this study, the authors propose a simple on-chip mirror design that allows for nonlinear saturation emission under low excitation power. This method significantly decreases the excitation power and enables a lateral resolution of around 35 nm in imaging single nanoparticles on-chip. The findings offer a straightforward solution for enhancing super-resolution imaging using pre-designed on-chip devices.
Article
Optics
Xinming Guo, Yixuan Li, Jiaming Qian, Yuxuan Che, Chao Zuo, Qian Chen, Edmund Y. Lam, Huai Wang, Shijie Feng
Summary: Temporal phase unwrapping is an important method for recovering discontinuous surfaces or spatially isolated objects in fringe projection profilometry. Existing algorithms can be classified into three types, but all require additional fringe patterns of different frequencies to retrieve the absolute phase. Image noise limits the efficiency and speed of phase unwrapping. This work shows for the first time that a generalized framework using deep learning can effectively mitigate noise and enhance phase unwrapping reliability, without increasing the number of auxiliary patterns. The proposed method has great potential for developing powerful and reliable phase retrieval techniques.
Article
Optics
Chu Xu, Ran Ye, Pengxin Zou, Tianyu Yang, Sorin Melinte, Zengbo Wang, Chao Zuo
Summary: Microsphere-assisted super-resolution imaging is a promising technique for enhancing the resolution of optical microscopes. Coating microspheres with metal films can generate photonic hooks that improve imaging contrast. This study demonstrates that patchy particles can focus and engineer light waves, generating S-shaped photonic hooks with longer effective length and smaller beam waist compared to classical photonic hooks. Experimental results confirm the generation of both classical and S-shaped photonic hooks from patchy microspheres.
Article
Optics
Habib Ullah, Jiaji Li, Shun Zhou, Zhidong Bai, Ran Ye, Qian Chen, Chao Zuo
Summary: Transport-of-intensity diffraction tomography (TIDT) is a label-free computational microscopy technique that retrieves high-resolution 3D refractive index distribution of biological specimens from intensity measurements. The conventional sequential acquisition process in TIDT is cumbersome and redundant. Therefore, a parallel implementation of synthetic aperture in TIDT (PSA-TIDT) with annular illumination is proposed, which allows for the recovery of 3D refractive index from a single intensity stack. Experimental validation of PSA-TIDT is conducted on various unlabeled biological samples.
Article
Nanoscience & Nanotechnology
Ning Zhou, Jiasong Sun, Runnan Zhang, Ran Ye, Jiaji Li, Zhidong Bai, Shun Zhou, Qian Chen, Chao Zuo
Summary: Optical diffraction tomography (ODT) is a powerful tool for studying unlabeled biological cells by quantitatively and noninvasively measuring the three-dimensional refractive index distribution of samples. However, conventional transmission ODT has poor axial resolution due to limited angular coverage of the incident beam. In this Letter, a new type of ODT method called opposite illumination Fourier ptychographic diffraction tomography (OI-FPDT) is proposed, which combines transmissive angle-scanning and reflective wavelength-scanning to achieve almost isotropic resolution.
Article
Optics
Jie Zhou, Yanbo Jin, Linpeng Lu, Shun Zhou, Habib Ullah, Jiasong Sun, Qian Chen, Ran Ye, Jiaji Li, Chao Zuo
Summary: A new technique of deep learning-based pixel-super-resolved quantitative phase microscopy is proposed, which enables high-quality phase reconstruction from low-resolution intensity measurement. This technique shows potential applications in high-throughput cellular dynamics analysis and has been successfully implemented in bright-field microscopes.
LASER & PHOTONICS REVIEWS
(2023)
Article
Optics
Jialin Zhang, Runnan Zhang, Long Tian, Zhenwei Xie, Jiasong Sun, Shijun Zhu, Xiaocong Yuan, Qian Chen, Chao Zuo
Summary: We derive the complete form of the transport of intensity equation (TIE) for arbitrary wave fields, including the effect of optical vortices. To overcome the difficulty of phase retrieval using near-field intensity measurements, a hard-edged aperture is introduced to break the azimuthal symmetry of wave propagation and visualize the rotation of the local Poynting vector. The new version of TIE is developed for phase retrieval of wave fields with optical vortices, and experimental demonstration using Laguerre-Gaussian vortex beams is presented.
OPTICS AND LASERS IN ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Ziqiang Wang, Jing Zhang, Shuhua Shi, Hongyu Ma, Dongqin Wang, Chao Zuo, Qiang Zhang, Chaoqun Lian
Summary: In this study, we identified arginine and proline-related genes significantly associated with overall survival in lung adenocarcinoma (LUAD) and divided the samples into two subtypes with distinct clinicopathological features and tumor microenvironments. We developed a scoring system based on these genes and identified two hub genes, CPS1 and SMS, that are highly associated with prognosis. These findings provide potential molecular features and clinical applications of arginine and proline-related genes in LUAD.
SCIENTIFIC REPORTS
(2023)
Article
Physics, Multidisciplinary
Wenjian Wang, Nauman Ali, Ying Ma, Zhao Dong, Chao Zuo, Peng Gao
Summary: In this paper, a novel approach for quantitative phase microscopy (QPM) using deep learning is proposed to accurately reconstruct the phase image of transparent specimens from a defocus bright-field image. A U-net based model is trained to learn the mapping relation between the defocus intensity image and the phase distribution of the sample. After training with a large data set of off-axis holograms and defocused bright-field images, the network can quickly and accurately reconstruct the phase information from a defocus bright-field intensity image. This method is expected to have wide applications in life science and industrial detection.
FRONTIERS IN PHYSICS
(2023)
Article
Optics
Wei Yin, Yifan Ji, Juntong Chen, Rui Li, Shijie Feng, Qian Chen, Bing Pan, Zhenyu Jiang, Chao Zuo
Summary: This paper proposes a fast and robust stereo matching method using geometric constraints for Stereo-DIC, which improves the accuracy and robustness of matching while speeding up the computation. Experimental results demonstrate the advantages of this method in terms of high precision and computational efficiency.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Crystallography
Xu Xin-ao, Li Yi-xuan, Qian Jia-ming, Feng Shi-jie, Zuo Chao
Summary: Three-dimensional shape measurement is crucial in various fields. Fringe projection profilometry, known for its high precision, full field of view, and noncontact features, is the most widely used optical method. This paper proposes a real-time high-precision model reconstruction method based on global optimization, which improves the accuracy and stability of global point cloud registration. Experimental results demonstrate that this method achieves higher precision and stable global point cloud registration compared to current real-time methods. Moreover, it can robustly complete 3D model reconstruction, even in dynamic scenes.
CHINESE JOURNAL OF LIQUID CRYSTALS AND DISPLAYS
(2023)
