23 papers · ranked by Valyu relevance
Yanfan Zhu, Marilyn M. Lionts, Ezekiel J. Haugen, Alec B. Walter + 10 more
Raman spectroscopy offers a uniquely rich window into molecular structure and composition, making it a powerful tool across fields ranging from materials science to biology. However, the reproducibility of Raman data analysis remains a fundamental bottleneck. In practice, transforming raw spectra into meaningful…
Chunsheng Yan
Title: Summary Spectroscopic techniques are indispensable for material characterization, yet their weak signals remain highly prone to interference from environmental noise, instrumental artifacts, sample impurities, scattering effects, and radiation-based distortions (e.g., fluorescence and cosmic rays). These…
Yanfan Zhu, Marilyn M. Lionts, Ezekiel J. Haugen, Alec B. Walter + 10 more
Raman spectroscopy offers a uniquely rich window into molecular structure and composition, making it a powerful tool across fields ranging from materials science to biology. However, the reproducibility of Raman data analysis remains a fundamental bottleneck. In practice, transforming raw spectra into meaningful…
Jiaqi Hu, Gina Jinna Chen, Chenlong Xue, Pei Liang + 17 more
Raman spectroscopy has tremendous potential for material analysis with its molecular fingerprinting capability in many branches of science and technology. It is also an emerging omics technique for metabolic profiling to shape precision medicine. However, precisely attributing vibration peaks coupled with specific…
Valeria Tafintseva, Tiril Aurora Lintvedt, Johanne Heitmann Solheim, Boris Zimmermann + 13 more
'Boris Zimmermann' 'Hafeez Ur Rehman' 'Vesa Virtanen' 'Rubina Shaikh' 'Ervin Nippolainen' 'Isaac Afara' 'Simo Saarakkala' 'Lassi Rieppo' 'Patrick Krebs' 'Polina Fomina' 'Boris Mizaikoff' 'Achim Kohler' 'Michele De Luca' 'Gaetano Ragno'] The aim of the study was to optimize preprocessing of sparse infrared spectral…
Carl Troein, Syahril Siregar, Michiel Op De Beeck, Carsten Peterson + 2 more
Modern vibrational spectroscopy techniques enable rapid collection of thousands of spectra in a single hyperspectral image, allowing researchers to resolve spatially heterogeneous samples down to a resolution of a few μm. A number of algorithms have been developed to correct for effects such as atmospheric absorption…
Yiqi Huang, Jie Li, Rui Yang, Fukuan Wang + 5 more
'Fanghao Wan' 'Xi Qiao' 'Wanqiang Qian'] Mile-a-minute weed (Mikania micrantha Kunth) is considered as one of top 100 most dangerous invasive species in the world. A fast and accurate detection technology will be needed to identify M. micrantha. It will help to mitigate the extensive ecologic and economic damage on our…
Kay A. Robbins, Jonathan Touryan, Tim Mullen, Christian Kothe + 1 more
EEG preprocessing approaches have not been standardized, and even those studies that follow best practices contain variations in the ways that the recommended methods are applied. An open question for researchers is how sensitive the results of EEG analyses are to preprocessing methods and parameters. To address this…
Priyanka Kumari, Sampriti Soor, Amba Shetty, Archana M. Nair
Accurate mineral identification on the Martian surface is critical for understanding the planet's geological history. This paper presents a UNet-based autoencoder model for efficient spectral preprocessing of CRISM MTRDR hyperspectral data, addressing the limitations of traditional methods that are computationally…
Г. А. Галазутдинов
The article provides a brief description of the software package DECH for processing and analysis of astronomical spectra. DECH supports all stages of processing and analysis of spectral data, including image preprocessing, spectra extraction (including those with a variable tilted slit), wavelength calibration by a…
Gregory Beurier, Robin Reiter, Camille Noûs, Lauriane Rouan + 1 more
Near-infrared spectroscopy (NIRS) is rapid and non-destructive, but reliable calibration still depends heavily on spectral preprocessing. In routine practice, preprocessing is often selected by large external pipeline searches that are costly, unstable on small calibration sets, and difficult to audit. We introduce…
Sumanasekara, Praveen, Ratnayake, Athulya + 10 more
—Spectral variability significantly impacts the accuracy and convergence of hyperspectral unmixing algorithms. Many methods address complex spectral variability; yet largescale distortions to the scale of the observed pixel signatures due to topography, illumination, and shadowing remain a major challenge. These…
Authors not listed
While Raman spectroscopy offers notable experimental advantages as a probe of complex mixtures, its application in practice often confronts samples that present an overwhelming fluorescence background. Here, we explore the efficacy of two particular Raman spectrometric strategies for quantitative analysis under…
Kevin Robben, Christopher Cheatum
We report a comprehensive study of the efficacy of least-squares fitting of multidimensional spectra to generalized Kubo lineshape models and introduce a novel least-squares fitting metric, termed the Scale Invariant Gradient Norm (SIGN), that enables a highly reliable and versatile algorithm. The precision of…
Luyan Ji, Xiurui Geng, Yongchao Zhao, Fuxiang Wang
For most hyperspectral remote sensing applications, removing bad bands, such as water absorption bands, is a required preprocessing step. Currently, the commonly applied method is by visual inspection, which is very time-consuming and it is easy to overlook some noisy bands. In this study, we find an inherent…
Authors not listed
High-quality data preprocessing is essential for untargeted metabolomics experiments, where increasing dataset scale and complexity demand adaptable, robust, and reproducible software solutions. Modern preprocessing tools must evolve to integrate seamlessly with downstream analysis platforms, ensuring efficient and…
Çağatay Demirel, Jarrod Gott, Kristoffer Appel, Katharina Lüth + 10 more
Lucid dreaming (LD) is a state of conscious awareness of the current dream state, predominantly associated with REM sleep. Research progress in uncovering the neurobiological basis of LD has been hindered by low sample sizes, diverse EEG setups, and specific artifact issues like saccadic eye movements and signal…
Keisuke Ozawa
Statistically weighted principal component analysis (wPCA) is widely used to reduce the noise of scanning transmission electron microscopy-energy-dispersive X-ray (STEM-EDX) spectroscopy data. It is beneficial to retain the spatial resolution of observation in each step of the analysis, but the direct application of…
Authors not listed
We present TAPAS (Transient Absorption Processing and Analysis Software), an open-source, Python-based graphical platform that covers the entire transient absorption (TA) workflow, from raw data import and preprocessing to visualization, global and target fitting, and statistical evaluation. Users operate TAPAS through…
Helge Hecht, Wudmir Y. Rojas, Zargham Ahmad, Aleš Křenek + 2 more
There is a lack of experimental electron ionization high-resolution mass spectra available to assist compound identification. The in silico generation of mass spectra by quantum chemistry can aid annotation workflows, in particular to support the identification of compounds that lack experimental reference spectra…
Ahmed Ben Said, Rachid Hadjidj, Kamal Eddine Melkemi, Sebti Foufou
Nowadays, many applications rely on images of high quality to ensure good performance in conducting their tasks. However, noise goes against this objective as it is an unavoidable issue in most applications. Therefore, it is essential to develop techniques to attenuate the impact of noise, while maintaining the…
C. J. Prabhakar, Pavan Kumar
- The underwater images usually suffers from non-uniform lighting, low contrast, blur and diminished colors. In this paper, we proposed an image based preprocessing technique to enhance the quality of the underwater images. The proposed technique comprises a combination of four filters such as homomorphic filtering…
Authors not listed
Purpose: The transmission Fourier-transform infrared (FTIR) spectrum contains complexed signals for molecular structures and intermolecular interactions. Their interrelated signals were attempted to be recognized using the singular value decomposition (SVD) procedure. Methods: Cimetidine (CIM) and indomethacin (INM)…