Spectroscopy and Chemometrics/Machine-Learning News Weekly #48, 2021

NIR Calibration-Model Services

Spectroscopy and Chemometrics News Weekly 47, 2021 | 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 47, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 47, 2021 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

This week’s NIR news Weekly is sponsored by Your-Company-Name-Here – NIR-spectrometers. Check out their product page … link

Get the Spectroscopy and Chemometrics News Weekly in real time on Twitter @ CalibModel and follow us.




Near-Infrared Spectroscopy (NIRS)

“Integrative Computational Analysis of Muscle Near-Infrared Spectroscopy Signals: Effects of Oxygen Delivery and Blood Volume” LINK

“Near Infrared Spectroscopic Evaluation of Starch Properties of Diverse Sorghum Populations” LINK

“Non-Destructive Prediction of Paddy Seed Quality using Near Infrared Spectroscopy” LINK

“Orthogonal Signal Correction of Near-Infrared Spectra for the Prediction of Glucose in Human Tissue” LINK

“Joint calibration of soil Vis-NIR spectra across instruments, soil types & properties by attention-based spectra encoding-spectra/property decoding architecture” LINK

“Determining the Influence of Sample Preparation and Feed Form on the Predictability of the Near Infrared Reflectance Spectroscopy Technique” LINK

“Non-invasive Blood Glucose Detection Sensor System Based on Near-Infrared Spectroscopy” LINK

“Minerals : Salinity Monitoring at Saline Sites with VisibleNear-Infrared Spectral Data” LINK

“平均分布差异最小化的 NIR 标定迁移方法研究” LINK

“Effectiveness of visible – Near infrared spectroscopy coupled with simulated annealing partial least squares analysis to predict immunoglobulins G, A, and M concentration in bovine colostrum” LINK

“PSV-15 Using near infrared reflectance spectroscopy to predict lab scoured yield in Rambouillet sheep” | LINK

“Effective prediction of soil organic matter by deep SVD concatenation using FT-NIR spectroscopy” LINK

“Study on the identification of resistance of rice blast based on near infrared spectroscopy” LINK

“Predicting Organic Matter Content, Total Nitrogen and pH Value of Lime Concretion Black Soil Based on Visible and Near Infrared Spectroscopy” |(2011)43 LINK

“Application of near-infrared spectroscopy in detection of steroids adulteration in traditional Thai medicines” LINK

“Development of a new NIR-machine learning approach for simultaneous detection of diesel various properties” LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

“Near infrared for white wine analysis” LINK

“Microscale Infrared Technologies for Spectral Filtering and Wireless Neural Dust” LINK

“Performance of fieldscale lab vs in situ visible/near and midinfrared spectroscopy for estimation of soil properties” LINK




Raman Spectroscopy

“Detection of SubTerahertz Raman Response and Nonlinear Optical Effects for Luminescent Yb(III) Complexes” LINK




Hyperspectral Imaging (HSI)

“Vis-NIR Hyperspectral Imaging for Online Quality Evaluation during Food Processing: A Case Study of Hot Air Drying of Purple-Speckled Cocoyam (Colocasia …” LINK

” New Approach to the Old Challenge of Free Flap Monitoring—Hyperspectral Imaging Outperforms Clinical Assessment by Earlier Detection of Perfusion Failure” LINK

“Remote Sensing : UAV-Borne Hyperspectral Imaging Remote Sensing System Based on Acousto-Optic Tunable Filter for Water Quality Monitoring” LINK

“4D line-scan hyperspectral imaging” | LINK

“Near-infrared hyperspectral imaging for polymer particle size estimation” LINK

“Foreign Object Detection from Fresh-Cut Vegetables Using Near Infrared Hyperspectral Imaging Techniques” LINK




Chemometrics and Machine Learning

“Neural-network-powered pulse reconstruction from one-dimensional interferometric cross-correlation traces. (arXiv:2111.01014v1 [physics.optics])” LINK

“Spectral reconstruction with model-based neural network for liquid crystal modulator devices” LINK

“Supporting soil and land assessment with machine learning models using the Vis-NIR spectral response” LINK

“Applications of NIR spectroscopy and chemometrics to illicit drug analysis: An example from inhalant drug screening tests” LINK




Optics for Spectroscopy

“Polymers : Composite Materials from Renewable Resources as Sustainable Corrosion Protection Coatings” LINK

“Improvement of the Physical Properties of Electro-spun Polyacrylonitrile Nano-fibers Using the Fe2O3 Nanoparticles for Wastewater Treatment” LINK

“Nanomaterials : Facile and Sensitive Detection of Nitrogen-Containing Organic Bases with Near Infrared C-Dots Derived Assays” LINK




Facts

“On the possible benefits of deep learning for spectral preprocessing” LINK




Research on Spectroscopy

“Data : A Principal Components Analysis-Based Method for the Detection of Cannabis Plants Using Representation Data by Remote Sensing” LINK

“Foods : Inner Properties Estimation of Gala Apple Using Spectral Data and Two Statistical and Artificial Intelligence Based Methods” LINK

“Effects on volatile oil and volatile compounds of Amomum tsao-ko with different pre-drying and drying methods” LINK

“Investigation of innovative analytical techniques and methodological approaches for the analysis of phyto-cannabinoids in cannabis samples” LINK

“A Novel Compression Method of Spectral Data Matrix Based on the Low-Rank Approximation and the Fast Fourier Transform of the Singular Vectors” LINK




Equipment for Spectroscopy

“Feasibility of portable NIR spectrometer for quality assurance in glue-laminated timber production” LINK




Process Control and NIR Sensors

“Applications for remote sensing by unmanned aerial vehicles in reclamation monitoring” LINK

“282 Nutritional Monitoring of Prenatally Stressed and Translocated Brahman Heifers” LINK




Environment NIR-Spectroscopy Application

“Importance of the legacy effect for assessing spatiotemporal correspondence between interannual tree-ring width and remote sensing products in the Sierra …” LINK

“Retrieving zinc concentrations in topsoil with reflectance spectroscopy at Opencast Coal Mine sites” | LINK




Agriculture NIR-Spectroscopy Usage

“Sustainability : Estimation of Heavy Metal(Loid) Contents in Agricultural Soil of the Suzi River Basin Using Optimal Spectral Indices” LINK

“Forage Grasses Steer Soil Nitrogen Processes, Microbial Populations, and Microbiome Composition in A Long-term Tropical Agriculture System” LINK

“Symmetric and asymmetric overgrowth of a Ag shell onto gold nanorods assisted by Pt pre-deposition” | LINK

“Agronomy : Applicability of Near Infrared Reflectance Spectroscopy to Predict Amylose Contents of Single-Grain Maize” LINK

“Nondestructive Detection of Weight Loss Rate, Surface Color, Vitamin C Content, and Firmness in Mini-Chinese Cabbage with Nanopackaging by Fourier Transform …” LINK

“Task Complexity and Image Clarity Facilitate Motor and Visuo-Motor Activities in Mirror Therapy in Post-stroke Patients” | LINK

“Near infrared spectrometry to evaluate the feed value of forages” LINK

“Nondestructive Prediction of Anthocyanin Content of Pigmented Soybean Seeds using Hyperspectral Near-infrared imaging” LINK

“Intravascular imaging beyond ischaemia assessment: a possible way for improving risk stratification” | LINK




Horticulture NIR-Spectroscopy Applications

“Extending the use of fiber optic equipped visible/near infrared reflectance spectrometer to measure peel color of various fruits and vegetables” LINK

“High-Throughput Plant Phenotyping for the Chilling Stress of Watermelon Plants” LINK




Food & Feed Industry NIR Usage

“Quantitative detection of benzoyl peroxide in wheat flour using line-scan short-wave infrared hyperspectral imaging” LINK

“Spectroscopy of Phenolic Antioxidants” | LINK




Pharma Industry NIR Usage

“Beyond the Patient’s Report: Self-Reported, Subjective, Objective and Estimated Walking Disability in Patients with Peripheral Artery Disease” LINK

“Greater plaque burden and cholesterol content may explain an increased incidence of non-culprit events in diabetic patients: a Lipid-Rich Plaque substudy” LINK

“Spatial covariation between solar-induced fluorescence and vegetation indices from Arctic-Boreal landscapes” LINK

“Spectroscopic characteristics of Xeloda chemodrug” LINK




Laboratory and NIR-Spectroscopy

“Particle-specific characterisation of non-hazardous, coarse-shredded mixed waste for real-time quality assurance” LINK




Other

“Facile fabrication of PS-CHO core-shell composite microspheres via in-situ chemical deposition and their photocatalytic application on oxidative degradation …” LINK

“A trace CH<sub>4</sub> detection system based on DAS calibrated WMS technique” LINK

“Denitrification and dissimilatory nitrate reduction to ammonia in long-term lake sediment microcosms with iron (II)” LINK

“近红外光谱的通用聚苯乙烯牌号在线识别方法” LINK

“非均匀固体籽粒近红外光谱采集方法研究” LINK

“基于卷积神经网络和近红外光谱的太平猴魁茶产地鉴别分析” LINK

“鸡腿肌冻干粉蛋氨酸近红外光谱定量预测模型的建立与优化” LINK

“Anthocyanins – Definition, Benefits, Sources” LINK

“Varijabilnost parametara kvalitete zrna hrvatskih i stranih genotipova soje (Glycine max L.)” LINK

“Cultivation and Performance Analysis of Simultaneous Partial Nitrification, ANAMMOX, and Denitratation Granular Sludge” LINK

“CHEMICAL CHARACTERIZATION OF BARK COMPOUNDS FROM CAATINGA SPECIES” LINK



Spectroscopy and Chemometrics/Machine Learning News Weekly #35, 2021

NIR Calibration-Model Services

With CM Service you can have customized optimized NIR calibrations developed without subscription. | NIRS NIR Spectroscopy ModelDevelopment MachineLearning Chemometrics LINK

How to develop near-infrared spectroscopy calibrations in the 21st Century? | transmission reflectance absorbance LINK

Spectroscopy and Chemometrics News Weekly 34, 2021 | 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 34, 2021 | NIRS NIR Spektroskopie MachineLearning Spektrometer IoT Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Laboranalyse LINK

Spettroscopia e Chemiometria Weekly News 34, 2021 | NIRS NIR Spettroscopia MachineLearning analisi chimica Spettrale Spettrometro Chem IoT Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem QualityControl LINK

This week’s NIR news Weekly is sponsored by Your-Company-Name-Here – NIR-spectrometers. Check out their product page … link

Get the Spectroscopy and Chemometrics News Weekly in real time on Twitter @ CalibModel and follow us.




Near-Infrared Spectroscopy (NIRS)

“Minerals : The Role of Solar Energy (UV-VIS-NIR) as an Assistant for Sulfide Minerals Leaching and Its Potential Application for Metal Extraction” LINK

“Development of Attenuated Total Reflectance Mid-Infrared (ATR-MIR) and Near-Infrared (NIR) Spectroscopy for the Determination of Resistant Starch Content …” | LINK

“Particle Swarm Optimization and Multiple Stacked Generalizations to Detect Nitrogen and Organic-Matter in Organic-Fertilizer Using Vis-NIR” | LINK

“Inversion Method for Cellulose Content of Rice Stem in Northeast Cold Region Based on Near Infrared Spectroscopy” LINK

“Sensors : Particle Swarm Optimization and Multiple Stacked Generalizations to Detect Nitrogen and Organic-Matter in Organic-Fertilizer Using Vis-NIR” LINK




Infrared Spectroscopy (IR) and Near-Infrared Spectroscopy (NIR)

“Smart Detection of Faults in Beers Using Near-Infrared Spectroscopy, a Low-Cost Electronic Nose and Artificial Intelligence” LINK

“Fault Isolation for Desalting Processes Using Near-Infrared Measurements” | LINK

“Temporal Changes in Near-Infrared Spectroscopy Signals in Recurrent In-Stent Restenosis Attributable to Calcified Nodule” LINK




Raman Spectroscopy

“Multivariate Analysis Aided Surface-Enhanced Raman Spectroscopy (MVA-SERS) Multiplex Quantitative Detection of Trace Fentanyl in Illicit Drug Mixtures Using a Handheld Raman Spectrometer” LINK




Hyperspectral Imaging (HSI)

“SWiVIA-Sliding Window Variographic Image Analysis for real-time assessment of heterogeneity indices in blending processes monitored with hyperspectral …” LINK

“Assessing produce freshness using hyperspectral imaging and machine learning” LINK

“Nondestructive prediction and visualization of total flavonoids content in Cerasus Humilis fruit during storage periods based on hyperspectral imaging technique” LINK

“Altered mineral mapping based on ground-airborne hyperspectral data and wavelet spectral angle mapper tri-training model: Case studies from Dehua-Youxi …” LINK




Chemometrics and Machine Learning

“Artificial bionic taste sensors coupled with chemometrics for rapid detection of beef adulteration” LINK

“Identification and Classification of Technical Lignins by means of Principle Component Analysis and kNearest Neighbor Algorithm” LINK

“A 50-year personal journey through time with principal component analysis. Ian Jolliffe. Journal of Multivariate Analysis.” LINK

“A feasibility quantitative analysis of free fatty acids in polished rice by fourier transform near‐infrared spectroscopy and chemometrics” LINK

“Forensics Applications of Raman Spectroscopy, ATR FT-IR, and Chemometrics” LINK

“Fast and non-destructive near infrared spectroscopic analysis associated with chemometrics: an efficient tool in assisting breeding programs” LINK

“Chemosensors : Environmental Odour Quantification by IOMS: Parametric vs. Non-Parametric Prediction Techniques” LINK

“ACD/Labs Partners with Science Data Experts to Aid Life Sciences Companies in Accelerating Their Implementation of Machine Learning and Artificial Intelligence Technologies” | MachineLearning ArtificialIntelligence Partnership LINK

“Remote Sensing : UCalib: Cameras Autocalibration on Coastal Video Monitoring Systems” LINK

“Medical urine analysis method based on Vis-NIR optical spectroscopy using machine learning algorithms.” LINK

“A feasibility quantitative analysis of free fatty acids in polished rice by fourier transform nearinfrared spectroscopy and chemometrics” LINK

“Diffuse reflectance spectroscopy based rapid coal rank estimation: A machine learning enabled framework” LINK

“Remote Sensing : Mapping Plastic Greenhouses with Two-Temporal Sentinel-2 Images and 1D-CNN Deep Learning” LINK




Research on Spectroscopy

“Polymers : Role of the Anilinium Ion on the Selective Polymerization of Anilinium 2-Acrylamide-2-methyl-1-propanesulfonate” LINK




Environment NIR-Spectroscopy Application

“A knowledge-based, validated classifier for the identification of aliphatic and aromatic plastics by WorldView-3 satellite data” LINK

“Sustainability : Assessment of Soil Pollution Levels in North Nile Delta, by Integrating Contamination Indices, GIS, and Multivariate Modeling” LINK

“Sensing and data fusion opportunities for raw material characterisation in mining: Technology and data-driven approach” LINK




Agriculture NIR-Spectroscopy Usage

“Evaluation of non-invasive bioforensic techniques for determining the age of hot-iron brand burn scars in cattle” LINK

“Nutrients : Diet and Leukocyte Telomere Length in a Population with Extended Longevity: The Costa Rican Longevity and Healthy Aging Study (CRELES)” LINK

“Spectral and lifetime resolution of fundus autofluorescence in advanced age‐related macular degeneration revealing different signal sources” LINK

“Linking insect herbivory with plant traits: phylogenetically structured trait syndromes matter” LINK

“An in vitro Propagation of Aspilia africana (Pers.) C. D. Adams, and Evaluation of Its Anatomy and Physiology of Acclimatized Plants” | LINK

“Urban Science : Effects of Urbanization on Ecosystem Services in the Shandong Peninsula Urban Agglomeration, in China: The Case of Weifang City” LINK

“Binding to Amyloid Protein by Photothermal BloodBrain BarrierPenetrating Nanoparticles for Inhibition and Disaggregation of Fibrillation” LINK




Food & Feed Industry NIR Usage

“Molecules : The Effect of Fat Content and Fatty Acids Composition on Color and Textural Properties of Butter” LINK

“Nondestructive identification of barley seeds variety using nearinfrared hyperspectral imaging coupled with convolutional neural network” LINK

“Effect of Weather Conditions on the Fatty Acid Composition of Medium-Growth Chicken Reared in Organic Production System” LINK




Beverage and Drink Industry NIR Usage

“Chemosensors : Multi-Sensor Characterization of Sparkling Wines Based on Data Fusion” LINK

“コーヒー生豆の品質基準に関する研究” “Coffee flavor is considerably influenced by the quality of green coffee beans. ” LINK




Other

AI computers can’t patent their own inventions …. LINK



“Rape Variety Identification Based on Canopy Spectral Parameters” LINK

“Critical Review of LASSO and Its Derivatives for Variable Selection Under Dependence Among Covariates.” LINK

“近红外光谱法快速测定养生酒的酒精度方法研究” LINK

“全球食品领域近红外光谱应用研究文献计量分析” LINK

“Photochemical Synthesis of Nonplanar Small Molecules with Ultrafast Nonradiative Decay for Highly Efficient Phototheranostics” LINK

“Fluorescent Silicon Carbide Nanoparticles” LINK





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Digitization in the field of NIR spectroscopy (smart sensors)

Digitalization is advancing, also in NIR spectroscopy, which enables trainable miniature smart sensors e.g. for analyses in the food&feed, chemical and pharmaceutical sectors.

The calibration is the core of a NIR spectroscopy sensor, it enables the numerous applications and should therefore not be the weakest link in the measurement chain.

The development of calibrations that turn NIR spectrometers into smart sensors is done manually by experts (NIR specialist, chemometrician, data scientist) with so-called chemometrics software.

This is very time-consuming (time to market) and the result is person-dependent and thus suboptimal, because each expert has his own preferred way of proceeding. In addition, the calibrations have to be maintained, as new data has been collected in the meantime, which can be used to extend and improve the calibrations.

This is where our automated service comes in, combining the knowledge and good practices of NIR spectroscopy and chemometrics collected in one software and using machine learning to generate optimal calibrations.

Based on this, we have developed a complete technology platform (Time to Market) that covers the entire process from sending NIR + Lab data, to NIR Calibration as a Service, from online purchase of calibrations, to NIR Predictor software that directly evaluates newly measured NIR data locally and generates result reports.

Besides the free desktop version with user interface, the NIR Predictor can also be integrated (OEM). This can be integrated in parallel as a complement to your current Predictor, allowing the user to choose how they want to calibrate. And give them the advantage in NIR feasibility studies and NIR spectrometer evaluations to quickly provide the customer with a solid and accurate calibration that will make their NIR system deliver better results.

Advantages for your NIR users (internal or external)
  • no initial costs (no chemometrics software license required),
  • calculable operating costs (fixed amount instead of time and hourly rate) (calibration development, calibration maintenance)
  • easy to use (no chemometrics and software training),
  • quicker to use (no calibration development work) and
  • better calibrations (precision, accuracy, robustness, …)


Our chargeable service is based on the calibration development and the annual calibration use. Calibration development and calibration use can also be carried out separately (manufacturer / user).

For you as a spectrometer manufacturer, this means that you can deliver your system pre-calibrated for certain applications without incurring software license costs. And without your application specialists having to provide additional calibration services.

The unique advantages of our calibration service together with the free NIR Predictor are:
  • no software license costs (chemometrics software, predictor software, OEM integration)
  • no chemometrics know-how necessary
  • no time needed to develop optimal NIR calibrations.


If interested in using/evaluating the service :

About CalibrationModel.com : Time and knowledge intensive creation and optimization of chemometric evaluation methods for spectrometers as a service to enable more accurate analysis and measurement results.



see also

Paradigm Change in NIR

Five Mistakes to avoid on Digitalization in NIR

NIR – Total cost of ownership (TCO)

OEM / White Label Software

White Paper



Get access to how the NIR Calibration and Prediction Model is Optimized, validated and what are the settings, pre-processing, variable-selection, outliers

Access the information of the complete calibration settings

Get access to the information of the complete settings of the optimized calibration, including selected wavelengths, data pre-processings, selected calibration spectra, validation spectra, test spectra, outlier spectra and complete prediction performance statistics, and detailed prediction information of all spectra. It includes complete Intellectual Property (IP) and allows to re-create the model in any chemometric software. The information is delivered within a .zip file that contains a HTML page with text, tables and images that can be printed to PDF with your browser.

The Calibration Report contains all the selected data and parameter settings details to re-create the model in any chemometric software and it’s comparable by statistics and visually.

Here is an example Calibration Report

Pricing
NIR-Predicor

Access the information of the selected wavelengths

Get access to the information of the selected wavelengths that are used in the optimized calibration. This will look like “4467-5378, 6458-7569, 8247-9852 [1/cm]” for wavenumbers or similar in nanometers [nm] depending on your data. This is very useful for sensor manufacturers to reduce detector/sensor hardware cost or reducing scanning time by leaving out or over skipping the gaps in the wavelength range for dedicated applications.

Wavelength Selection

Pricing

Basic Software and Services

NIR-Predictor Software
Unlimited predictions.
No internet access needed.
FREE
overview , info , download

Calibration Development and Usage


We develop optimal Calibrations for you.
The service includes Calibration* development with the NIR and laboratory data you provide and the usage period of the Calibration on your defined systems*.
Calibration performance statistic and graph are available in the Web-Shop before purchase, where you can select your suitable calibrations.

You can choose your calibration to work on how many of your systems and the usage period.
You can get calibrations with short usage period for starting model building with small data and collecting more during the use of the model.
When you have collected more data, create a new extended model by the same process.

One-time fee per Calibration file download. Depending on the usage period and the number of systems using the calibration.

1 Month 3 Months 6 Months 1 Year Perpetual
1 System €133 €143 €157 €178 €248
2 Systems €135 €149 €168 €199 €298
3 Systems €137 €154 €177 €215 €336
Unlimited €143 €173 €214 €278 €488


Definitions:
*) Calibration : one calibration per property (chemical-, biochemical-, physicochemical- or physical-property, constituent, analyte, ingredient, parameter or attribute value).
Calibration is delivered as a file (.cm) for local use with the free NIR-Predictor Software (no internet connection needed for predictions).
*) System : one sensor with NIR-Predictor software.
*) Unlimited: the calibration can be used with unlimited number of systems.
*) Perpetual: endless usage period of the calibration.
*) Service explained


Extend Calibration Usage later on


The data owner can submit a calibration file to extend the usage period for any systems.

One-time fee per Calibration file download. Depending on the usage period and the number of systems using the calibration.

1 Year Perpetual
1 System €60 €120
2 Systems €85 €170
3 Systems €104 €208
Unlimited €180 €360

Optional Software and Services

JCAMP-Anonymizer Software
Single place license.
One-time fee per download.
€249
Optimal Calibration Wavelength Selection
One-time fee per download.
€163
Complete Calibration Settings as Calibration Report
Includes complete Intellectual Property (IP).
Allows to re-create the model in any chemometric software.
One-time fee per download.
€598

Conditions

Payment is a One-time fee per download (no setup fee, no registration needed, without a subscription).
One-time charge for a set amount of time. Unused time is non-refundable.

Payment by Credit Card are serviced by PayPal (you don’t need a PayPal account, use “PayPal Guest Checkout”).

Calibration delivery time is maximal 3 business days (via email, download).

Prices can change dynamically every day. To get notified you can use: Google Alerts ‘website change notification’ or visualping.io ‘monitor webpages’

See also Terms of Service


Price considerations

You get a free NIR-Predictor software and can locally do unlimited predictions (no internet access needed).

You don’t need to buy an expensive chemometric software license with updates and training days.

You don’t need to waste your time on trial-and-error process to find optimal model parameter settings and waiting for calculations.

Cost comparison of Chemometrics / Machine Learning / Data Science for NIR-Spectroscopy



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