Remote detection and mapping of surface materials using optical sensors relies predominantly on analyzing multispectral and hyperspectral imagery employing classification algorithms. The classification process involves comparing the spectra of individual pixels within the image to spectra from reference databases, commonly referred to as spectral libraries. Here, we introduce a comprehensive compilation of spectral libraries specifically tailored for petroleum hydrocarbons (PHC), meticulously crafted under controlled laboratory conditions. This compilation includes reference spectral libraries for various PHC forms, including crude oils, mineral substrate-PHC mixtures (comprising crude oils and fuels), oil-film on water, and oil-water emulsions. Data collection was conducted within the visible, near, and shortwave IR (VNIR-SWIR - 0.35-2.5 µm) spectra and thermal IR (TIR - 3-15 µm) range. The openly accessible spectral libraries presented herein support the scientific community and industry in characterizing field samples or spectral data from onshore and offshore sites. Furthermore, these libraries are instrumental in developing and applying classification algorithms designed for processing spectral images captured by cameras coupled to multiple platforms (e.g., tripods, drones, airborne, orbital satellites).
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http://dx.doi.org/10.1038/s41597-024-03892-y | DOI Listing |
Med J Armed Forces India
December 2024
Medical Cadet, Armed Forces Medical College, Pune, India.
Background: Sleep deprivation leads to decreased performance, alertness and degradation in the health status of a person. Often the person remains unaware of the reduced alertness and may end up taking inaccurate decisions. There was a need to study the sleep duration of college goers and to study the effect of total night-time sleep duration on daytime Electroencephalogram (EEG) characteristics.
View Article and Find Full Text PDFSci Data
December 2024
Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, No. 18 Shilongshan Road, Hangzhou, 310024, China.
Thyroid nodules are a common endocrine condition with an increasing incidence over the decades. Data-independent acquisition has been widely utilized in discovery proteomics to identify disease biomarkers and therapeutic targets. To analyze the thyroid disease-related proteome in a high-throughput, reproducible and reliable manner, we introduce thyroid-specific peptide spectral libraries.
View Article and Find Full Text PDFMethods Mol Biol
December 2024
Institute of Marine Research, Bergen, Norway.
Shotgun proteomics can be applied to identify and study insect species in diverse research areas such as agriculture, forensics, biodiversity conservation, and food safety. In this chapter, we have provided a detailed protocol for shotgun proteomics analytical methods involving enzymatic digestion of insect proteins using trypsin, separation using high-performance liquid chromatography, and detection of separated peptides using high-resolution mass spectrometry. The protocol also covers the utilization of bioinformatics software for protein identification and spectral library building, proposing both proteomic database-dependent and independent methods.
View Article and Find Full Text PDFJ Proteome Res
December 2024
Department of Neurology, University of Tennessee Health Science Center, Memphis, Tennessee 38103, United States.
The identification of peptides is a cornerstone of mass spectrometry-based proteomics. Spectral library-based algorithms are well-established methods to enhance the identification efficiency of peptides during database searches in proteomics. However, these algorithms are not specifically tailored for tandem mass tag (TMT)-based proteomics due to the lack of high-quality TMT spectral libraries.
View Article and Find Full Text PDFContact Context
January 2024
Department of Pharmaceutical Sciences, University of Kentucky, Lexington, KY 40536.
The University of Kentucky's Drug Quality Task Force (DQTF) conducted a study to perform consumer-level quality assurance screening of vasopressin injections used in their healthcare pharmacies. The primary objective was to identify potential quality defects by examining intralot and interlot variability using Raman spectrometry and statistical analyses. Raman spectra were collected noninvasively and nondestructively from vasopressin vials (n=51) using a Thermo Scientific Smartraman DXR3 Analyzer.
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