Article
Chemistry, Analytical
Mahsa Akbari Lakeh, Hamid Abdollahi, Robert Rajko
Summary: In chemical data analysis, mathematical resolution of mixture spectra is often used to identify and quantify unknown species. However, the decomposition process may yield multiple feasible solutions instead of a unique solution due to insufficient prior information. This study proposes a procedure to predict the uniqueness of resolved non-negative profiles obtained by MCR-ALS or similar methods. The procedure is based on the data-based uniqueness theorem and the general rule of uniqueness. It is easy to implement, has no additional computational cost, and is applicable to different systems with any number of components.
ANALYTICA CHIMICA ACTA
(2022)
Article
Multidisciplinary Sciences
Adrian Gomez-Sanchez, Monica Marro, Maria Marsal, Sara Zacchetti, Rodrigo Rocha de Oliveira, Pablo Loza-Alvarez, Anna de Juan
Summary: Hyperspectral imaging (HSI) is a useful technique that provides spatial and chemical information of samples non-invasively. Combining different HSI techniques can offer complementary information through image fusion. Unmixing methods help analyze and interpret the information related to each component of the signal in HSI.
SCIENTIFIC REPORTS
(2021)
Article
Chemistry, Analytical
Silvia Mas Garcia, Jean-Michel Roger, Mireille Cambert, Corinne Rondeau-Mouro
Summary: This study investigated changes in hydration properties of Arabidopsis seeds during the imbibition process using TD-NMR and MCR-ALS analysis. By introducing kinetic models, the hydration process was well described. The study also offered an interpretation of the mucilage characteristics of Arabidopsis seeds.
Article
Multidisciplinary Sciences
Lijin Lian, Xuejuan Hu, Zhenhong Huang, Liang Hu, Lu Xu
Summary: The study focuses on detecting harmful algae through hyperspectral fluorescence imaging microscopy and proposes an optimization method of multivariate curve resolution for pigment analysis. The method accurately describes the location, concentration, and distribution of microalgae pigments, providing a rapid and cost-effective solution for water quality environmental issues.
Article
Multidisciplinary Sciences
Ling Xu, Guanyao Li, Qiaochuan Chen
Summary: This study presents two novel architectures for enhancing the resolution of individual medical images and sequential medical images. By utilizing the multi-scale back-projection network and the multi-scale bidirectional fusion attention network, it is able to extract spatial information at different scales and incorporate temporal information, achieving more accurate reconstruction.
Article
Optics
Bobby R. Hunt, Amber L. Iler, David G. Sheppard
Summary: D. L. Fried's concept of a Lucky Image introduces different degrees of localized resolution in turbulent image streams, characterized through simple measures on PSFs and compiled into an empirical PDF to describe local resolution variations in turbulent imagery.
Article
Engineering, Electrical & Electronic
Tiecheng Song, Jie Feng, Lin Luo, Chenqiang Gao, Hongliang Li
Summary: In this paper, two novel operators, local grouped order pattern (LGOP) and non-local binary pattern (NLBP), are proposed for texture description. Experimental results demonstrate that combining LGOP and NLBP to construct discriminative histogram features as texture descriptor LGONBP shows superiority over state-of-the-art LBP variants for texture classification.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Zhang Wenlong, Liu Yihao, Chao Dong, Yu Qiao
Summary: In this paper, a RankSRGAN model is proposed to optimize the generator in the direction of different perceptual metrics, aiming to improve the visual quality of super-resolved images. The proposed method combines the strengths of different SR methods and achieves state-of-the-art performance in perceptual metrics and quality.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Fei Ye, Zebin Wu, Xiuping Jia, Jocelyn Chanussot, Yang Xu, Zhihui Wei
Summary: This study proposes a hyperspectral image super-resolution algorithm based on tensor factorization and Bayesian methods. By constructing nonlocal patch tensors and utilizing automatic relevance determination, the model can simultaneously explore global spectral correlation and nonlocal spatial similarity, and adaptively infer the latent rank of the tensors, thus improving fusion performance.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2023)
Article
Automation & Control Systems
Roma Tauler
Summary: The extension of MCR-ALS to analyze multiway data with multilinear constraints is described in the paper, allowing for implementation of constraints for different components in different modes and introducing different levels of complexity of multilinear models, including mixed models. This approach is tested on multiway data sets of varying complexity and has shown to be adequate and advantageous compared to current methods.
JOURNAL OF CHEMOMETRICS
(2021)
Article
Geography, Physical
Meilin Zhang, Guizhou Zheng, Zhiben Jiang, Qiqi Zhu, Linlin Wang, Qingfeng Guan
Summary: In this paper, a local-aware coupled network (LCNet) is proposed to address the challenging task of hyperspectral image super-resolution (HSI SR). LCNet adaptively learns the spectral response function (SRF) and point spread function (PSF) in the primary stage of the network to address the issue of unknown prior information. Experimental results demonstrate the superiority of LCNet in preserving both the texture details of MSI and the spectral characteristics of HSI.
GISCIENCE & REMOTE SENSING
(2023)
Article
Computer Science, Artificial Intelligence
Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao, Hongyan Zhang, Liangpei Zhang
Summary: In this paper, a unified paradigm combining spatial and spectral properties is proposed for hyperspectral image restoration. It achieves performance superiority through non-local spatial denoising and low-rank orthogonal basis exploration, while maintaining a low computational complexity.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2022)
Article
Automation & Control Systems
Isabel Ten-Domenech, Marta Moreno-Torres, Juan Daniel Sanjuan-Herraez, David Perez-Guaita, Guillermo Quintas, Julia Kuligowski
Summary: This study proposes a strategy for the joint analysis of MCR-ALS and metabolic pathway analysis to interpret dynamic changes in longitudinal metabolomic data. Results show that MCR-ALS facilitates the interpretation of longitudinal metabolomic profiles in multivariate data sets by identifying metabolic pathways associated with each detected dynamic component.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2023)
Article
Chemistry, Analytical
Ashok Zachariah Samuel, Shumpei Horii, Masahiro Ando, Haruko Takeyama
Summary: Raman imaging has evolved into a molecular profiling technique in biomedical applications, with SVD and PCA commonly used for data analysis. However, these methods often fail to fully interpret the molecular information in the original data. By developing a combined multivariate approach, this study successfully extracted the contribution of five biomolecular constituents of Penicillium chrysogenum to the SVD vectors, advancing SVD/PCA into a more meaningful molecular domain.
ANALYTICAL CHEMISTRY
(2021)
Article
Chemistry, Multidisciplinary
K. Janssens, A. L. Bugaev, E. G. Kozyr, V Lemmens, A. A. Guda, O. A. Usoltsev, S. Smolders, A. Soldatov, D. E. De Vos
Summary: This study establishes structure-property relationships in Ru-based catalytic systems for selective hydrodeoxygenation of ketones to alkenes. The research shows that changing reaction conditions affects the hydrogenation selectivity, and the evolution of Ru structure also influences the reaction selectivity. These results contribute to the understanding of catalyst evolution and provide insights into deactivation routes and possibilities for reactivation.
Article
Biochemical Research Methods
Rodrigo R. de Oliveira, Claudio Avila, Richard Bourne, Frans Muller, Anna de Juan
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2020)
Article
Automation & Control Systems
Anna de Juan, Silvia Mas, Marcel Maeder, Roma Tauler
JOURNAL OF CHEMOMETRICS
(2020)
Article
Chemistry, Analytical
S. Mas, A. Torro, L. Fernandez, N. Bec, C. Gongora, C. Larroque, P. Martineau, A. de Juan, S. Marco
Article
Plant Sciences
Sara Piqueras, Sophie Fuchtner, Rodrigo Rocha de Oliveira, Adrian Gomez-Sanchez, Stanislav Jelavic, Tobias Keplinger, Anna de Juan, Lisbeth Garbrecht Thygesen
FRONTIERS IN PLANT SCIENCE
(2020)
Article
Chemistry, Multidisciplinary
Claudio R. Avila, Joan Ferre, Rodrigo Rocha de Oliveira, Anna de Juan, Wayne E. Sinclair, Faiz M. Mahdi, Ali Hassanpour, Timothy N. Hunter, Richard A. Bourne, Frans L. Muller
PHARMACEUTICAL RESEARCH
(2020)
Article
Chemistry, Analytical
Adrian Gomez-Sanchez, Monica Marro, Maria Marsal, Pablo Loza-Alvarez, Anna de Juan
ANALYTICAL CHEMISTRY
(2020)
Article
Chemistry, Analytical
Rodrigo Rocha de Oliveira, Anna de Juan
ANALYTICAL CHEMISTRY
(2020)
Review
Chemistry, Analytical
Anna de Juan, Roma Tauler
Summary: Multivariate Curve Resolution (MCR) is an algorithm designed to address the mixture analysis problem by expressing the original data through a bilinear model of pure component contributions. Since its inception in 1971, MCR methods have evolved to adapt to diverse scientific scenarios, incorporating new modeling tasks and mathematical properties. The continuous adaptation and application of MCR to new measurements and domains make it a mature yet lively methodology with potential for further advancement.
ANALYTICA CHIMICA ACTA
(2021)
Article
Chemistry, Analytical
Claudio Avila, Christos Mantzaridis, Joan Ferre, Rodrigo Rocha de Oliveira, Uula Kantojarvi, Anna Rissanen, Poppy Krassa, Anna de Juan, Frans L. Muller, Timothy N. Hunter, Richard A. Bourne
Summary: Progress in the latest generation of MEMS Fabry-Perot interferometers for near infrared wavelengths has led to the development of ultra-fast and low cost NIR sensors for potential use in the process industry. By integrating a miniaturised sensor into a software platform, successful monitoring of a multiphase process for producing saturated polyester resins was achieved, with robust preprocessing algorithms and probe stability enabling the establishment of regression models for key analytical parameters.
Article
Chemistry, Analytical
Olivier Devos, Mahdiyeh Ghaffari, Raffaele Vitale, Anna de Juan, Michel Sliwa, Cyril Ruckebusch
Summary: The study introduces a multivariate curve resolution method based on data slicing, allowing tailored and fit-free analysis of multiexponential fluorescence decay curves. This approach enables the recovery of individual components with decay profiles that are only partially describable by monoexponential functions, and can extract fluorescence lifetime information accurately.
ANALYTICAL CHEMISTRY
(2021)
Article
Multidisciplinary Sciences
Adrian Gomez-Sanchez, Monica Marro, Maria Marsal, Sara Zacchetti, Rodrigo Rocha de Oliveira, Pablo Loza-Alvarez, Anna de Juan
Summary: Hyperspectral imaging (HSI) is a useful technique that provides spatial and chemical information of samples non-invasively. Combining different HSI techniques can offer complementary information through image fusion. Unmixing methods help analyze and interpret the information related to each component of the signal in HSI.
SCIENTIFIC REPORTS
(2021)
Editorial Material
Chemistry, Analytical
Anna de Juan Capdevila
BRAZILIAN JOURNAL OF ANALYTICAL CHEMISTRY
(2021)
Article
Chemistry, Analytical
Alessandro Nardecchia, Anna de Juan, Vincent Motto-Ros, Michael Gaft, Ludovic Duponchel
Summary: Laser-induced breakdown spectroscopy (LIBS) imaging is an innovative technique that utilizes powerful pulse lasers and chemometric analysis to capture atomic, ionic, and molecular emission signals in samples, but the complex data processing requires compression and fusion to achieve fast and reliable signal unmixing.
ANALYTICA CHIMICA ACTA
(2022)
Article
Chemistry, Analytical
Adrian Gomez-Sanchez, Raffaele Vitale, Olivier Devos, Anna de Juan, Cyril Ruckebusch
Summary: The unmixing of multiexponential decay signals into monoexponential components is a challenging task due to strong correlation and complete window overlap. Slicing methodologies, such as PowerSlicing, decompose the original data matrix into a three-way data array to provide unique solutions. However, when few sampling points are available, a degradation in accuracy and precision of the recovered profiles can be observed. In this work, a new methodology called Kernelizing is proposed to tensorize data matrices of multiexponential decays more efficiently, resulting in more accurate trilinear model estimates.
ANALYTICA CHIMICA ACTA
(2023)
Article
Engineering, Environmental
J. Lopez, R. R. de Oliveira, M. Reig, X. Vecino, O. Gibert, A. de Juan, J. L. Cortina
Summary: A copper smelter generates solutions with H2SO4, non-metals, and metals that are treated with lime for disposal. Efforts to recover H2SO4 by diffusion dialysis were successful, but challenges were faced with As transport across membranes. Additional steps may be needed to remove As before treatment.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2021)