Its noninvasive nature and sensitivity to absorption related to tissue biomolecular content and scattering change, associated with subcellular morphology, make it an extremely powerful tool to analyse tissue composition, microstructure or oxygenation status, offering promising performance in applications such as cancer diagnostics and surgical guidance [1, 30, 85, 121]. DRS signals are measured by delivering a typically white light source into the tissue and detecting diffusely reflected signals at a certain distance from the source, where the distance between the emitting and receiving fibres determines the tissue depth probed. Depending on the application and clinical objective, multiple illumination or detection fibres can be used to obtain more quantitative information and probe different depths. The light delivery and collection from tissue are often handled using optical fibres or fibre bundles. When incident on the tissue, the light undergoes scattering and absorption processes, which alter the light intensity across the measured spectrum [75, 121].

Soil near-Infrared (NIR) spectral absorbance/reflectance libraries are utilized towards improving agricultural production and analysis of soil properties which are key prerequisite for agro-ecological balance and environmental sustainability. Carbonates in particular, represent a soil property which is mostly affected even by mild, let alone extreme, changes of environmental conditions during climate change. In this study we propose a rapid and efficient way to predict carbonates content in soil by means of Fourier Transform Near-Infrared (FT-NIR) reflectance spectroscopy and by use of deep learning methods. We exploited multiple machine learning methods, such as: 1) a Multi-Layered Perceptron Regressor (MLP) and 2) a Convolutional Neural Network (CNN) and compare their performance with other traditional machine learning algorithms such as Partial Least Squares Regression (PLSR), Cubist and Support Vector Machines (SVM) on the combined dataset of two NIR spectral libraries: Kellogg Soil Survey Laboratory (KSSL) of the United States Department of Agriculture (USDA), a dataset of soil samples reflectance spectra collected nationwide, and Land Use and Coverage Area Frame Survey (LUCAS) TopSoil (European Soil Library) which contains soil sample absorbance spectra from all over the European Union, and use them to predict carbonate content on never-before-seen soil samples. Soil samples in KSSL and in TopSoil spectral libraries were acquired in the spectral region of visible-near infrared (Vis-NIR) (350-2500 nm), however in this study, only the NIR spectral region (1150-2500 nm) was utilized. Quantification of carbonates by means of X-ray-Diffraction is in good agreement with the volumetric method and the MLP prediction. Our work contributes to rapid carbonates content prediction in soil samples in cases where: 1) no volumetric method is available and 2) only NIR spectra absorbance data are available. Up till now and to the best of our knowledge, there exists no other study, that presents a prediction model trained on such an extensive dataset with such promising results on unseen data, undoubtedly supporting the notion that deep learning models present excellent prediction tools for soil carbonates content.

NIR Calibration-Model Services Spectroscopy and Chemometrics News Weekly 20, 2022 NIRS NIR Spectroscopy MachineLearning Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software IoT Sensors QA QC Testing Quality LINK Spektroskopie und Chemometrie Neuigkeiten Wöchentlich 20, 2022 NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK Spettroscopia e Chemiometria Weekly News 20, 2022 NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK Near-Infrared Spectroscopy (NIRS) "Agriculture : Feasibility of Near-Infrared Spectroscopy for Rapid Detection of Available Nitrogen in Vermiculite Substrates in Desert Facility Agriculture" LINK "Blood discrimination based on NIR spectroscopy and BP neural network combined with genetic algorithm" LINK "Automated surface mapping via unsupervised learning and classification of Mercury Visible-Near-Infrared reflectance spectra" LINK "At-line and inline prediction of droplet size in mayonnaise with near-infrared spectroscopy" LINK "Use of near-infrared spectroscopy and chemometrics for fast discrimination of Sargassum fusiforme" LINK " Chemometric studies of hops degradation at different storage forms using UVVis, NIRS and UPLC analyses" LINK "Portable NIR spectroscopy and PLS based variable selection for adulteration detection in quinoa flour" LINK "Foods : Assessment of Pumpkin Seed Oil Adulteration Supported by Multivariate Analysis: Comparison of GC-MS, Colourimetry and NIR Spectroscopy Data" LINK "Near infrared spectroscopy to evaluate the effect of a hybrid exercise programme on peripheral muscle metabolism in patients with intermittent claudication: an …" LINK "Plants : Prediction and Comparisons of Turpentine Content in Slash Pine at Different Slope Positions Using Near-Infrared Spectroscopy" LINK "Teknologi Near Infrared Reflectance Spectroscopy (NIRS) dan Metode Kemometri untuk Deteksi Pemalsuan Minyak Nilam" LINK "Raman and near Infrared Spectroscopy for Quantification of Fatty Acids in Muscle Tissue--A Salmon Case Study" LINK "Multi-information based on ATR-FTIR and FT-NIR for identification and evaluation for different parts and harvest time of Dendrobium officinale with chemometrics" LINK "Application of near infrared spectroscopy to predict contents of various lactones in chromatographic process of Ginkgo Folium" LINK "A feasibility study on improving the non-invasive detection accuracy of bottled Shuanghuanglian oral liquid using near infrared spectroscopy" LINK "The application of NIR spectroscopy in moisture determining of vegetable seeds" seedtesting seedquality NIRS methodDevelopment Calibration solution content analysis seed grain grains LINK "Aplicación de imágenes hiperespectrales (HSI-NIR) para la determinación de estrés hídrico en hojas de patata." LINK "Analyzing Classification Performance of fNIRS-BCI for Gait Rehabilitation Using Deep Neural Networks" LINK "Near-infrared spectroscopy and machine learning-based technique to predict quality-related parameters in instant tea" LINK "Prediction of Wheat Quality Parameters Combining Raman, Fluorescence and Near‐Infrared Spectroscopy (NIRS)" LINK Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR) "Extending Effective Dynamic Range of Hyperspectral Line Cameras for Short Wave Infrared Imaging" LINK "Single-domain nearinfrared protein provides a scaffold for antigen-dependent fluorescent nanobodies" LINK "Analyzing the Water Confined in Hydrogel Using Near-Infrared Spectroscopy" LINK "Application of infrared spectroscopic techniques to cheese authentication: A review" LINK "Estimation of grain quality parameters in rice for highthroughput screening with nearinfrared spectroscopy and deep learning" LINK Hyperspectral Imaging (HSI) "Multispectral camera system design for replacement of hyperspectral cameras for detection of aflatoxin B1" LINK "Hyperspectral Imaging for cherry tomato" LINK "A novel 3D convolutional neural network model with supervised spectral regression for recognition of hyperspectral images of colored wool fiber" LINK "Channel and band attention embedded 3D CNN for model development of hyperspectral image in object-scale analysis" LINK "A novel high-throughput hyperspectral scanner and analytical methods for predicting maize kernel composition and physical traits" LINK "Learning Multiscale Temporal-Spatial-Spectral Features via a Multi-path Convolutional LSTM Neural Network for Change Detection with Hyperspectral Images" LINK "The relationship between the spatial pattern of lakeside wetlands and water quality utilizing UAV hyperspectral remote sensing" LINK "Building spectral catalogue for salt marsh vegetation, hyperspectral and multispectral remote sensing" LINK "Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review" LINK "A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications" LINK "Using hyperspectral imaging technology for assessing internal quality parameters of persimmon fruits during the drying process" LINK "Near-Infrared Hyperspectral Imaging Pipelines for Pasture Seed Quality Evaluation: An Overview" LINK Chemometrics and Machine Learning "Chemometrics for Raman Spectroscopy Harmonization" LINK "Determination of active ingredients in alcoholbased gel by spectroscopic techniques and chemometric analysis" LINK "Effect of variable selection algorithms on model performance for predicting moisture content in biological materials using spectral data" LINK Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding project page: sota FID(7.27 on COCO), without ever training on COCO, human raters find Imagen samples to be on par with the COCO data itself in image-text alignment LINK "Validação prática de modelos de infravermelho próximo para tomate: sólidos solúveis e acidez" LINK Facts "Does active sitting provide more physiological changes than traditional sitting and standing workstations?"

Classification and adulterant detection in" LINK "Agronomy: Phenotyping and Validation of Root Morphological Traits in Barley (Hordeum vulgare L.)" LINK "Comparison of wavelength selected methods for improving of prediction performance of PLS model to determine aflatoxin B1 (AFB1) in wheat samples during storage" LINK "A Brief History of Whiskey Adulteration and the Role of Spectroscopy Combined with Chemometrics in the Detection of Modern Whiskey Fraud" LINK Equipment for Spectroscopy "Feasibility study of detecting palm oil adulteration with recycled cooking oil using handheld Near-infrared spectrometer" LINK Environment NIR-Spectroscopy Application "Spatial Prediction of Calcium Carbonate and Clay Content in Soils using Airborne Hyperspectral Data" LINK "Monitoring the soil copper pollution degree based on the reflectance spectrum of an arid desert plant" LINK "Micromachines: Visualization of Local Concentration and Viscosity Distribution during Glycerol-Water Mixing in a Y-Shape ...

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How to Develop Near-Infrared Spectroscopy Calibrations in the 21st Century? Chemometrics Analytische Chemie LINK Simplify the process of training machine learning models for NIR spectra data with applied near-infrared spectroscopy (NIRS) knowledge. LINK "An optimized non-invasive glucose sensing based on scattering and absorption separating using near-infrared spectroscopy" LINK "Identification of waxy cassava genotypes using fourier‐transform near‐infrared spectroscopy" LINK "Kernel functions embedded in support vector machine learning models for rapid water pollution assessment via near-infrared spectroscopy" LINK "Near-infrared-based Identification of Walnut Oil Authenticity" LINK "Detection of flaxseed oil multiple adulteration by near-infrared spectroscopy and nonlinear one class partial least squares discriminant analysis" LINK "Application research of sensor output digitization for compact near infrared IOT node" LINK "Refining Transfer Set in Calibration Transfer of Near ...

LINK "An overview of near-infrared spectroscopy (NIRS) for the detection of insect pests in stored grains" LINK "A high-throughput quantification of resin and rubber contents in Parthenium argentatum using near-infrared (NIR) spectroscopy" LINK The latest generation of near-infrared (NIR) spectroscopy systems designed for on-line measurement of properties opens up new possibilities for measuring product properties. LINK "In situ ripening stages monitoring of Lamuyo pepper using a new generation NIRS sensor" LINK "Detection of aflatoxin B1 on corn kernel surfaces using visible-near infrared spectra" LINK " Estimation of soil phosphorus availability via visible and near-infrared spectroscopy" LINK "Multivariate Classification of Prunus Dulcis Varieties using Leaves of Nursery Plants and Near Infrared Spectroscopy." LINK "Detection of Dibutyl Phthalate (DBP) Content in Liquor Based on Near Infrared Technology" LINK "Analysis of incensole acetate in Boswellia species by near infrared ...

Check out their product page … link Get the Chemometrics and Spectroscopy News in real time on Twitter @ CalibModel and follow us. Near Infrared " Raman Spectroscopy and NIR Spectroscopy as Possible AID in Localisation of Solitary Pulmonary Nodules" LINK NIR spectroscopy has potential for rapid on farm analysis of slurry nutrient content. Wouter Saeys, IFSConf LINK "Modeling for SSC and Firmness Detection of Persimmon Based on NIR Hyperspectral Imaging by Sample Partitioning and Variables Selection" LINK " Application of the NIR Spectroscopy in the Researches of Orthopedics Diseases" LINK "FT-NIR による油脂の迅速な品質管理" LINK "Accuracy improvement of quantitative analysis in VIS-NIR spectroscopy using the GKF-WTEF algorithm." LINK "Rapid determination of the content of digestible energy and metabolizable energy in sorghum fed to growing pigs by near-infrared reflectance spectroscopy." LINK "Characterization of the Processing Conditions upon Textural Profile Analysis (TPA) Parameters of Processed Cheese Using Near-Infrared Hyperspectral Imaging" LINK "Total aromatics of diesel fuels analysis by deep learning and near-infrared spectroscopy" LINK "Rapid Assessment of Soil Quality Indices Using Infrared Reflectance Spectroscopy" LINK "Quantitative Determination of the Fiber Components in Textiles by Near-Infrared Spectroscopy and Extreme Learning Machine" LINK "Non-Destructive Method for Predicting Sapodilla Fruit Quality Using Near Infrared Spectroscopy" LINK "Qualitative analysis for sweetness classification of longan by near infrared hyperspectral imaging" LINK " MENGUKUR BERAT VOLUME TANAH DI LAPANGAN MENGGUNAKAN NEAR INFRARED SPECTROSCOPY MEASUREMENT OF SOIL BULK DENSITY IN …" LINK "Hyperspectral Characteristics of Coastal Saline Soil with Visible/near Infrared Spectroscopy" LINK "Monitoring Soil Surface Mineralogy at Different Moisture Conditions Using Visible Near-Infrared Spectroscopy Data" LINK "Near infrared spectroscopy for assessing mechanical properties of Castanea sativa wood samples" Modulus of elasticity LINK " Development of near-infrared spectroscopic sensing system for online real-time monitoring of milk quality during milking" LINK " Advances in Near-Infrared Spectroscopy and Related Computational Methods" LINK "Morphological, Physicochemical and FTIR Spectroscopic Properties of Bee Pollen Loads from Different Botanical Origin" LINK "Fourier transform infrared imaging and quantitative analysis of pre-treated wood fibers: A comparison between partial least squares and multivariate curve resolution with alternating least squares methods in a case study" LINK "Antioxidant Activity of Blueberry (Vaccinium spp.)