Article
Computer Science, Interdisciplinary Applications
Yunpeng Shi, Amit Singer
Summary: This paper proposes an effective method for contrast estimation directly from noisy images without using any 3-D volume information. The method improves contrast estimation accuracy significantly, comparable to an oracle that knows the ground truth covariance of clean images, and enhances image restoration quality in both synthetic and experimental datasets.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2022)
Article
Optics
Timothee Justel, Frederic Galland, Antoine Roueff
Summary: This paper proposes a binary filter optimization method based on compressed Raman methods. By modifying the filters at each pixel, it enables classification with only a few measurements and retains the ability to reconstruct the full spectrum.
Article
Chemistry, Analytical
Biao Sun, Jinglei Zhai, Zilong Wang, Tengyu Wu, Siwei Yang, Yuhao Xie, Yunfeng Li, Pei Liang
Summary: In this study, an innovative adaptive sparse decomposition denoising (ASDD) method is proposed for enhancing the quality of spectral denoising in Raman spectroscopy. The ASDD method features a dictionary establishment, a dynamic dictionary construction technique, and the utilization of the orthogonal matching pursuit algorithm, which effectively improves the accuracy and robustness of denoising Raman spectra.
Article
Chemistry, Multidisciplinary
Pengkun Li, Xueli Han, Duanyang Chen, Qinglin Sai, Hongji Qi
Summary: The introduction of different elements into semiconductors for conductivity control is of scientific importance and practical applications, promoting their extensive use in electronic devices. In this study, V-doped beta-gallium oxide single crystals were cultivated using the optical floating zone method, and the influence of V doping on the structural, electrical, and optical properties of the crystals was investigated. The results showed that V-doped crystals exhibited superior quality and changes in carrier concentration, optical transmission, and absorption peaks with increasing V concentration.
Article
Chemistry, Inorganic & Nuclear
Baofeng Zheng, Yanhua Song, Zhibo Zheng, Yanxia Zhao, Qing Yang, Zhan Shi, Bo Zou, Haifeng Zou
Summary: A novel green-light-emitting silicon-based oxynitride phosphor Ca4Y3Si7O15N5:Eu2+ with low thermal quenching and ideal pressure sensitivity is reported. The phosphor can efficiently emit green light when excited by 345 nm ultraviolet light and shows high thermal stability. It also exhibits a red shift with increasing pressure, making it suitable for optical pressure sensing applications.
INORGANIC CHEMISTRY
(2023)
Article
Chemistry, Physical
Madhur Srivastava, Boris Dzikovski, Jack H. Freed
Summary: The study introduces a wavelet transform-based approach to effectively remove noise from spectroscopic data, demonstrating its ability to accurately extract signals from various types of spectra. By improving the signal-to-noise ratio, it can accurately recover weak signals from complex spectra.
JOURNAL OF PHYSICAL CHEMISTRY A
(2021)
Article
Chemistry, Analytical
Abdul Halim Bhuiyan, Jean-Emmanuel Clement, Zannatul Ferdous, Kentaro Mochizuki, Koji Tabata, James Nicholas Taylor, Yasuaki Kumamoto, Yoshinori Harada, Thomas Bocklitz, Katsumasa Fujita, Tamiki Komatsuzaki
Summary: A line illumination Raman microscope is used to extract spatial and spectral information from samples faster than raster scanning microscopes. Non-uniform laser line illumination can introduce artifacts and lower the accuracy of machine learning models. To address this issue, a detrending scheme based on random forest regression and position-dependent wavenumber calibration is proposed, which significantly reduces artifacts and improves the differentiability of sample states.
Article
Chemistry, Analytical
Sinead Barton, Salaheddin Alakkari, Kevin O'Dwyer, Tomas Ward, Bryan Hennelly
Summary: In this work, Convolutional Neural Networks are enhanced with a non-standard loss function to improve the signal-to-noise ratio of Raman spectra while preserving spectral peaks. The proposed algorithm shows improvements in signal to noise ratios by up to 100% for low intensity spectra, making it suitable for low light or high throughput applications. Overall, this method offers advantages compared to traditional Savitsky-Golay filtering.
Article
Green & Sustainable Science & Technology
Lingxue Liu, Li Zhou, Maksym Gusyev, Yufeng Ren
Summary: In this study, a novel bias-correction system equipped with the proposed Piecewise Random Forest (P-RF) model was developed to improve the potential of the global-scale river discharge reanalysis product GloFAS-ERA5 (GloFAS) as a calibration benchmark for building hydrological models in ungauged basins. The system was tested in three ungauged scenarios in China and Japan, and the results showed better performance on the temporal scale, significant impact of sample integrity and adequacy on spatial and spatiotemporal bias-corrections, and a reduction of 25%-50% in statistical metric differences through the bias-correction.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Materials Science, Ceramics
J. J. Mao, S. K. Zhu, G. Q. Zhang, X. Chen, L. T. Chen, F. Yang, K. M. Qin, T. S. Wang, H. B. Peng
Summary: In this study, borosilicate glasses were doped with strontium oxide and zirconium dioxide to simulate the effect of beta decay on vitrified materials. The structural changes were characterized using various techniques. The results showed that the increase in zirconium dioxide concentration led to a decrease in hardness and modulus, an increase in [BO3] units, and a decrease in Si-O-Si bonds. It was concluded that the real effect of beta decay cannot be accurately simulated by external electron irradiation alone and the changes in composition caused by the decay should not be ignored.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2022)
Article
Biochemistry & Molecular Biology
Xin Liang, Li Li, Yan Dong, Wei Dong, Hongxia Cui, Chunhui Xia, Tao Xu, Chaozhong Wang, Jie Zhang, Tingting Liu, Huimin Sui, Chao Gao
Summary: A method combining thin-layer chromatography with Raman imaging microscopy (TLC-RIM) has been developed for detecting illegally added estrogens in botanical dietary supplements. The method is fast, sensitive, stable, specific, and reliable.
Article
Spectroscopy
Yixin Guo, Weiqi Jin, Zongyu Guo, Yuqing He
Summary: The developed denoising technique, named iterative differential autoregressive spectrum estimation, shows good noise suppression performance and excellent Raman peak restoration ability in Raman spectroscopy. By implementing cutoff optimization strategies, the calculation time is reduced to 0.18 seconds, meeting the real-time denoising needs of remote Raman spectrometers under long integration conditions.
JOURNAL OF RAMAN SPECTROSCOPY
(2022)
Article
Robotics
Nicolas Gartner, Mathieu Richier, Claire Dune, Vincent Hugel
Summary: This paper presents a new experimental method for estimating the hydrodynamic parameters of underwater vehicles. The method uses numerical integration fitting and error minimization algorithms to obtain optimal solutions for the parameters. The method was applied to determine the hydrodynamic parameters of a torpedo-shaped Autonomous Underwater Vehicle (AUV), and the obtained values were found to be close to the theoretical values.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Instruments & Instrumentation
Francisco Restrepo, Junjing Zhao, Utpal Chatterjee
Summary: In this study, a shallow variational auto-encoder neural network is employed to demonstrate the potential of using machine learning for denoising and feature extraction from ARPES dispersion maps.
REVIEW OF SCIENTIFIC INSTRUMENTS
(2022)
Article
Optics
Kazuki Hashimoto, Venkata Ramaiah Badarla, Takayuki Imamura, Takuro Ideguchi
Summary: This work presents a simple method to expand the spectral bandwidth of complementary vibrational spectroscopy (CVS) using cascaded intra-pulse difference-frequency generation (IDFG). With this system, broadband CVS spectra of organic liquids spanning over 2000 cm(-1) were measured, more than double the previous study.
