1. Create Property File template
2. enter Lab reference values : assign Lab values to NIR spectra
3. create Calibration Request file
Read Manual
Cost comparison / Price comparison of Chemometrics / Machine Learning / Data Science for NIR-Spectroscopy – Kostenvergleich / Preisvergleich von Chemometrie / Maschinelles Lernen / Data Science für die NIR-Spektroskopie – Confronto dei costi / Confronto dei prezzi della chemiometria / Apprendimento automatico / Scienza dei dati per la spettroscopia NIR
Reduce Operating Costs and Total Cost of Ownership (TCO) of NIR-Spectroscopy (NIRS) in the Digitalization Age.
CalibrationModel.com (CM) versus Others
Costs are not everything, there are other important factors listed in the table.
| CM fix € pricing (approx.) | Others € Price Range (approx.) | |
| Software |
included
| |
| Chemometric Package | not‑needed |
€3500 - €6500 per user
|
| Chemometric Predictor |
free‑software
|
€1500 - €2500 per NIR device
|
| Knowledge |
included
| |
| Chemometric Training | not‑needed |
€1500 - €2500 per user
|
| Chemometrician* Salary | not‑needed |
1 years Salary / year
(+ risk of Employee Turnover) |
| Computation |
included
| |
| Powerful Computer (many Processors, lot of RAM for big data) | not‑needed |
€1500 - €4500 per computer
|
| Development and Usage | ||
| Development of a Calibration |
€128
|
€80 - €150 / hour
of Chemometrician* using a Chemometric Software (click and wait) and applying it's knowledge |
| Usage of a Calibration |
€60 / year
| |
| Total | €178 in first year €60 in second year | initial (min €8000 , max €15500) + 2 * (2 - 4)(hour to cost same! as CM service) * (€80 - €150) Chemometrician* work |
|
no initial cost
|
very high initial costs
| |
|
no personnel cost
|
high personnel* costs
| |
|
constant CM services
|
risk of Employee Turnover
| |
|
global knowledge
|
risk of only use personal knowledge
| |
|
easy to calculate fix cost on demand
|
difficult to calculate variable cost on demand plus Chemometrician* Recruitment needed
| |
| Results : calibration prediction performance |
always reproducible highly optimized
|
only as good as your Chemometrician* daily condition
|
|
better prediction performance, due to best-of 10'000x calibrations
|
small size of experiments, non-optimal calibrations
|
See also:
pricing
*) Personnel / Chemometrician / Data Scientist / Data Analyst / Machine Learning Engineer :
We are not against it, we are one of them a long time ago, but the way the work is done is changing (see below).
2019 Digitalization and the Future of Work: Macroeconomic Consequences
2019 The Digitalization of the American Workforce
2017 Digitalization and the American workforce , full-report
Spectroscopy and Chemometrics News Weekly #29, 2019Spektroskopie und Chemometrie Neuigkeiten Wöchentlich #29, 2019Spettroscopia e Chemiometria Weekly News #29, 2019
CalibrationModel.com
Spectroscopy and Chemometrics News Weekly 28, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Checking LINKSpektroskopie und Chemometrie Neuigkeiten Wöchentlich 28, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Qualitätslabor LINK
Spettroscopia e Chemiometria Weekly News 28, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK
This week's NIR news Weekly is sponsored by YourCompanyNameHere - BestNIRinstruments. Check out their product page ... link
Chemometrics
Distinguishing donor age groups via Raman spectroscopic analysis of whole blood & chemometrics! research by Kyle C. Doty & Igor K. Lednev : | LINK"Variable selection by double competitive adaptive reweighted sampling for calibration transfer of near infrared spectra" LINK
"Intuitive Visualization of Outlier Detection Methods" LINK
"Comparison of three different classification methods performance for the determination of biofuel quality by means of NIR spectroscopy" LINK
" Predicting the quality of ryegrass using hyperspectral imaging" LINK
"A Clustering-Based Partial Least Squares Method for Improving the Freshness Prediction Model of Crucian Carps Fillets by Hyperspectral Image Technology" LINK
" Hyperspectral Uncertainty Quantification by Optimization" LINK
Near Infrared
"Hardwood Species Classification with Hyperspectral Microscopic Images" LINK" Vibrational Spectroscopy and Chemometrics in Forensic Chemistry: Critical Review, Current Trends and Challenges" LINK
"Combining Fourier Transform MidInfrared Spectroscopy with Chemometric Methods to Detect Adulterations in Milk Powder." LINK
"Comparison of Cation Exchange Capacity Estimated from Vis-NIR Spectral Reflectance Data and a Pedotransfer Function" LINK
"Modeling of Fatty Acid Methyl Esters, Monoglycerides, Triglycerides and Diglycerides in Rapeseed Oil Biodiesel by Near Infrared Spectroscopy" LINK
"Predicting the contents of polysaccharides and its monosugars in Dendrobium huoshanense by partial least squares regression model using attenuated total reflectance Fourier transform infrared spectroscopy" LINK
"Fast determination of oxides content in cement raw meal using NIR spectroscopy with SPXY algorithm" LINK
"Application of near infrared spectroscopy and chemometrics for the analysis of nutraceuticals in South Africa" LINK
Infrared
"Determination of total sugar content in Siraitia grosvenorii by near infrared diffuse reflectance spectroscopy with wavelength selection techniques" LINK"How to Measure Coating Thickness of Tablets: Method Comparison of Optical Coherence Tomography, Near-infrared Spectroscopy and Weight-, Height- and Diameter Gain." LINK
Hyperspectral
"Spectral difference analysis and identification of different maturity blueberry fruit based on hyperspectral imaging using spectral index" LINKOptics
Focus on photonics, spectroscopy, and spectrometry LINKEquipment
"Sensors, Vol. 19, Pages 2995: Effect of the Architecture of Fiber-Optic Probes Designed for Soluble Solid Content Prediction in Intact Sugar Beet Slices" LINK"Miniaturized analytical platform for cocaine detection in oral fluids by MicroNIR/Chemometrics." LINK
"Handheld near-infrared spectrometer for on-line monitoring of biodiesel production in a continuous process" LINK
Environment
"Optimized Multivariate Analysis for the Discrimination of Cucumber Green Mosaic Mottle Virus-Infected Watermelon Seeds Based on Spectral Imaging" LINKAgriculture
"Non-destructive screening method for detecting the presence of insects in sorghum grains using near infrared spectroscopy and discriminant analysis" LINK" NIR hyperspectral imaging with multivariate analysis for measurement of oil and protein" LINK
Pharma
"Development and Validation of In-line Near-Infrared Spectroscopy Based Analytical Method for Commercial Production of a Botanical Drug Product" LINKIn-line monitoring of powder blend homogeneity in continuous drug manufacture using near infrared spectroscopy (with PDF) pharmaceutical binder excipients LINK
Laboratory
"The essential role of omni-capable research laboratories in advancing analytical spectroscopy" LINKOther
"How to Build Disruptive DataScience Teams: 10 Best Practices" LINKCalibrationModel.com
Spectroscopy and Chemometrics News Weekly 28, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Checking LINKSpektroskopie und Chemometrie Neuigkeiten Wöchentlich 28, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Qualitätslabor LINK
Spettroscopia e Chemiometria Weekly News 28, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK
This week's NIR news Weekly is sponsored by YourCompanyNameHere - BestNIRinstruments. Check out their product page ... link
Chemometrics
Distinguishing donor age groups via Raman spectroscopic analysis of whole blood & chemometrics! research by Kyle C. Doty & Igor K. Lednev : | LINK"Variable selection by double competitive adaptive reweighted sampling for calibration transfer of near infrared spectra" LINK
"Intuitive Visualization of Outlier Detection Methods" LINK
"Comparison of three different classification methods performance for the determination of biofuel quality by means of NIR spectroscopy" LINK
" Predicting the quality of ryegrass using hyperspectral imaging" LINK
"A Clustering-Based Partial Least Squares Method for Improving the Freshness Prediction Model of Crucian Carps Fillets by Hyperspectral Image Technology" LINK
" Hyperspectral Uncertainty Quantification by Optimization" LINK
Near Infrared
"Hardwood Species Classification with Hyperspectral Microscopic Images" LINK" Vibrational Spectroscopy and Chemometrics in Forensic Chemistry: Critical Review, Current Trends and Challenges" LINK
"Combining Fourier Transform MidInfrared Spectroscopy with Chemometric Methods to Detect Adulterations in Milk Powder." LINK
"Comparison of Cation Exchange Capacity Estimated from Vis-NIR Spectral Reflectance Data and a Pedotransfer Function" LINK
"Modeling of Fatty Acid Methyl Esters, Monoglycerides, Triglycerides and Diglycerides in Rapeseed Oil Biodiesel by Near Infrared Spectroscopy" LINK
"Predicting the contents of polysaccharides and its monosugars in Dendrobium huoshanense by partial least squares regression model using attenuated total reflectance Fourier transform infrared spectroscopy" LINK
"Fast determination of oxides content in cement raw meal using NIR spectroscopy with SPXY algorithm" LINK
"Application of near infrared spectroscopy and chemometrics for the analysis of nutraceuticals in South Africa" LINK
Infrared
"Determination of total sugar content in Siraitia grosvenorii by near infrared diffuse reflectance spectroscopy with wavelength selection techniques" LINK"How to Measure Coating Thickness of Tablets: Method Comparison of Optical Coherence Tomography, Near-infrared Spectroscopy and Weight-, Height- and Diameter Gain." LINK
Hyperspectral
"Spectral difference analysis and identification of different maturity blueberry fruit based on hyperspectral imaging using spectral index" LINKOptics
Focus on photonics, spectroscopy, and spectrometry LINKEquipment
"Sensors, Vol. 19, Pages 2995: Effect of the Architecture of Fiber-Optic Probes Designed for Soluble Solid Content Prediction in Intact Sugar Beet Slices" LINK"Miniaturized analytical platform for cocaine detection in oral fluids by MicroNIR/Chemometrics." LINK
"Handheld near-infrared spectrometer for on-line monitoring of biodiesel production in a continuous process" LINK
Environment
"Optimized Multivariate Analysis for the Discrimination of Cucumber Green Mosaic Mottle Virus-Infected Watermelon Seeds Based on Spectral Imaging" LINKAgriculture
"Non-destructive screening method for detecting the presence of insects in sorghum grains using near infrared spectroscopy and discriminant analysis" LINK" NIR hyperspectral imaging with multivariate analysis for measurement of oil and protein" LINK
Pharma
"Development and Validation of In-line Near-Infrared Spectroscopy Based Analytical Method for Commercial Production of a Botanical Drug Product" LINKIn-line monitoring of powder blend homogeneity in continuous drug manufacture using near infrared spectroscopy (with PDF) pharmaceutical binder excipients LINK
Laboratory
"The essential role of omni-capable research laboratories in advancing analytical spectroscopy" LINKOther
"How to Build Disruptive DataScience Teams: 10 Best Practices" LINKCalibrationModel.com
Spectroscopy and Chemometrics News Weekly 28, 2019 | NIRS NIR Spectroscopy Chemometrics Spectrometer Spectrometric Analytical Chemistry Chemical Analysis Lab Labs Laboratories Laboratory Software Sensors QA QC Testing Quality Checking LINKSpektroskopie und Chemometrie Neuigkeiten Wöchentlich 28, 2019 | NIRS NIR Spektroskopie Chemometrie Spektrometer Sensor Nahinfrarot Chemie Analytik Analysengeräte Analysentechnik Analysemethode Nahinfrarotspektroskopie Qualitätslabor LINK
Spettroscopia e Chemiometria Weekly News 28, 2019 | NIRS NIR Spettroscopia Chemiometria analisi chimica Spettrale Spettrometro Chem Sensore Attrezzatura analitica Laboratorio analisi prova qualità Analysesystem prediction models LINK
This week's NIR news Weekly is sponsored by YourCompanyNameHere - BestNIRinstruments. Check out their product page ... link
Chemometrics
Distinguishing donor age groups via Raman spectroscopic analysis of whole blood & chemometrics! research by Kyle C. Doty & Igor K. Lednev : | LINK"Variable selection by double competitive adaptive reweighted sampling for calibration transfer of near infrared spectra" LINK
"Intuitive Visualization of Outlier Detection Methods" LINK
"Comparison of three different classification methods performance for the determination of biofuel quality by means of NIR spectroscopy" LINK
" Predicting the quality of ryegrass using hyperspectral imaging" LINK
"A Clustering-Based Partial Least Squares Method for Improving the Freshness Prediction Model of Crucian Carps Fillets by Hyperspectral Image Technology" LINK
" Hyperspectral Uncertainty Quantification by Optimization" LINK
Near Infrared
"Hardwood Species Classification with Hyperspectral Microscopic Images" LINK" Vibrational Spectroscopy and Chemometrics in Forensic Chemistry: Critical Review, Current Trends and Challenges" LINK
"Combining Fourier Transform MidInfrared Spectroscopy with Chemometric Methods to Detect Adulterations in Milk Powder." LINK
"Comparison of Cation Exchange Capacity Estimated from Vis-NIR Spectral Reflectance Data and a Pedotransfer Function" LINK
"Modeling of Fatty Acid Methyl Esters, Monoglycerides, Triglycerides and Diglycerides in Rapeseed Oil Biodiesel by Near Infrared Spectroscopy" LINK
"Predicting the contents of polysaccharides and its monosugars in Dendrobium huoshanense by partial least squares regression model using attenuated total reflectance Fourier transform infrared spectroscopy" LINK
"Fast determination of oxides content in cement raw meal using NIR spectroscopy with SPXY algorithm" LINK
"Application of near infrared spectroscopy and chemometrics for the analysis of nutraceuticals in South Africa" LINK
Infrared
"Determination of total sugar content in Siraitia grosvenorii by near infrared diffuse reflectance spectroscopy with wavelength selection techniques" LINK"How to Measure Coating Thickness of Tablets: Method Comparison of Optical Coherence Tomography, Near-infrared Spectroscopy and Weight-, Height- and Diameter Gain." LINK
Hyperspectral
"Spectral difference analysis and identification of different maturity blueberry fruit based on hyperspectral imaging using spectral index" LINKOptics
Focus on photonics, spectroscopy, and spectrometry LINKEquipment
"Sensors, Vol. 19, Pages 2995: Effect of the Architecture of Fiber-Optic Probes Designed for Soluble Solid Content Prediction in Intact Sugar Beet Slices" LINK"Miniaturized analytical platform for cocaine detection in oral fluids by MicroNIR/Chemometrics." LINK
"Handheld near-infrared spectrometer for on-line monitoring of biodiesel production in a continuous process" LINK
Environment
"Optimized Multivariate Analysis for the Discrimination of Cucumber Green Mosaic Mottle Virus-Infected Watermelon Seeds Based on Spectral Imaging" LINKAgriculture
"Non-destructive screening method for detecting the presence of insects in sorghum grains using near infrared spectroscopy and discriminant analysis" LINK" NIR hyperspectral imaging with multivariate analysis for measurement of oil and protein" LINK
Pharma
"Development and Validation of In-line Near-Infrared Spectroscopy Based Analytical Method for Commercial Production of a Botanical Drug Product" LINKIn-line monitoring of powder blend homogeneity in continuous drug manufacture using near infrared spectroscopy (with PDF) pharmaceutical binder excipients LINK
Laboratory
"The essential role of omni-capable research laboratories in advancing analytical spectroscopy" LINKOther
"How to Build Disruptive DataScience Teams: 10 Best Practices" LINKNIR Method Development Service for Labs and NIR-Vendors (OEM)
CalibrationModel.com ia a perfect match for
– NIR Vendors , selling NIR , with limited capacity for NIR method development
– Labs , using NIR , with limited capacity for NIR method development
– small Labs , starting with NIR , with no or less Chemometric knowledge
The Triple to success : faster better analytics
LAB Reference Analytics + NIR Spectroscopy + ChemoMetrics
LAB + NIR + CM
=> use CM as a Service : CalibrationModel
NIR Method Development : Before / After
Before
– The need of a chemometric software ($$)
– The need of expert training courses (time,$$)
– The need of manual expert work (time,$$$)
with CalibrationModel
– The freedom without a chemometric software
– The freedom without being an expert
– The freedom of using a Service ($)
=> work smart, not hard
See Cost Comparision
Workflow:
Cloud Service
DATA -> CalibrationModel -> CALIB
fix cost, pay per CALIB development and usage
Local Usage (no internet connection)
DATA -> CALIB + Predictor -> RESULT
included, no extra cost
DATA = exported Spectra and (Lab-)reference values as JCAMP-DX or other data formats
CALIB = single quantitative property
Sending DATA
DATA is sent by email, 2-3 days later, receive email with link to
WebShop to purchase CALIB with PayPal/CreditCard
DATA is deleted after processing (Terms of Service TOS)
optional: JCAMP–Anonymizer (removes sensitive information) before sending DATA
As Middleman you can hide/cover the Service (white-label)
Customer <=============> CalibrationModel
or
Customer <==> Middleman <==> CalibrationModel
NIR Company
NIR Sales, Consultancy
Riskless Predictor OEM integration (white label) (in NIR-Vendors Instrument Software)
Predictor as a hidden second engine (second Heart)
Windows .NET, easy programming interface (API)
Ownership
DATA owner -> CALIB owner ==> use as your Pre-CALIB
CALIB is licensed to owner and so copy protected
The owner can Re-License a CALIB to others
owner can re-sell CALIBs in its own WebShop with own prices
Re-Calibration
DATA + DATA -> CALIB same easy workflow as DATA -> CALIB
optimize from scratch, benefit from complete optimization possibilities
learn more
NIR-Predictor Software
Contact us for predictor integration
NIR-PredictorNIR-PrädiktorNIR-Predittore
New: NIR-Predictor V2.6 with new features
The new Version of the free NIR-Predictor
supports GRAMS .SPC, CSV, JCAMP and multiple native file formats
of miniature, mobile and desktop spectrometers
get your spectra analyced as easy as Drag’n’Drop.
-
NIR-Predictor is an easy to use NIR software for all NIR devices
to produce quantitative results out of NIR data. -
CalibrationModel Service provides development of
customized calibrations out of NIR and Lab data. -
It allows to use NIR with your own customized
models without the need of Chemometric Software! -
We do the Machine Leraning for your NIR-Spectrometer
and with the free NIR-Predictor you are
able to analyze new measured samples. -
For NIR-Vendors we also offer the
Software Development Kit (SDK) for OEM Predictor use
via the Application Programming Interface (API).
Think of a sencod predictor engine,
as a second heart in your system.
Download
Key Features of NIR-Predictor
- Super flexible prediction with automatic file format detection
- Support for many mobile and desktop NIR Spectrometers file format
- Application concept allows to group multiple Calibrations together for an Application
- Prediction Report shows Histogram Charts of the tabulated prediction results
- Sample based Properties File Creator for combining NIR and Lab reference data
- Checked creation of a single file Calibration Request
Super flexible prediction
Loads multiple files at once in
- different file-formats and …
- different wave-ranges and wave-resolutions and …
- predicts each spectrum with all compatible calibrations and …
- merges the results in a report and …
- saves the report as HTML.
It allows you to
- comparing measurements
- compare different calibrations
- compare different spectrometers,
carry out your own round-robin amongst the vendors’ instruments. - compare different spectra file formats
With no configuration and no special menu command,
just drag & drop your data files.
Properties File Creator
A tool for the NIR-User to create the property file easily. It helps to create a CSV file from the measured spectra files with sample names and properties to edit in Spreadsheet/EXCEL software. Lets you enter Lab-Reference-Values in a sample-based manner, corresponding to your sample spectra for calibration. It contains clever automatic analysis mechanisms of inconsistencies in your raw-data to increase the data quality for calibration. Provides detailed analyzer information for manual data cleanup when needed.
It’s time saving and less error prone because you DON’T need to open each spectrum file separately in an editor and copy the spectral values into a table grid beside the Lab-values.
Properties File Creator saves you from:
- manually error prone and boring tasks
- importing multiple data files and combining it’s content manually into a single data file to append the lab reference values (aka properties)
- programming and writing scripts to transform the data into the shape needed
- no trouble with data handling of
- Wavelength / Wavenumber information (x-axis)
- Absorbance / Reflectance labeling (y-axis)
- checking compatibility of the raw data before merging
- Averaging Spectral Intensities of a Sample
- coping, flipping and transposing rows and colums to get the X-Block and Y-Block data sets ready for calibration modeling
- limited and error prone table grid functionality
Because it’s all automatic and you can check the results and get the analysis information!
Properties File Creator provides you - a individual template based on your raw-data for combining NIR and Lab-values - analysis and checks for better data quality for calibration
Top 8 Reasons why you should use
Automated NIR Calibration Service
- No subjective model selection
- No variation in results and interpretation
- No overfitting model
- Better accuracy
- Better precision
- Time saving!
- No software cost (no need for Chemometric software and training)
- One free prediction software for all your NIR systems
Reduce Total Cost of Ownership (TCO) of your NIR
To be ahead of competitors- by not owning a chemometric software
- by not struggling days with these complicated software
- by not deep dive into chemometrics theory
- You need to have the relevant skill sets in your organization.
- That means salaries (the biggest expense in most organizations)
- use the free NIR-Predictor together with your NIR-Instrument software
- as an NIR-Vendor, integrate the free NIR-Predictor OEM into your NIR-Instrument software
- don’t delay time-to-market
Download
About the included Demo-Spectra and Demo-Calibrations
The demo calibrations for the spectrometers from
- Si-Ware Systems
- Spectral Engines
- Texas Instruments
- VIAVI
are built with the raw data, thankfully provided from Prof. Heinz W Siesler, from this publication
“Hand-held near-infrared spectrometers:
State-of-the-art instrumentation and practical applications”
Hui Yan, Heinz W Siesler
First Published August 20, 2018 Research Article
https://doi.org/10.1177/0960336018796391
The demo calibrations for the FOSS are built with the
ANSIG Kaji Competition 2014 shootout data
http://www.anisg.com.au/the-kaji-competition
References
Quickstart: NIR-Predictor - Manual
Features and Version History: NIR-Predictor - Release Notes History
Supported NIR Spectra Formats: NIR-Predictor supported Spectral Data File Formats
Frequently Asked Questions: NIR-Predictor - FAQ
WebShop : CalibrationModel WebShop
New: NIR-Predictor V2.6 with new features
The new Version of the free NIR-Predictor
supports GRAMS .SPC, CSV, JCAMP and multiple native file formats
of miniature, mobile and desktop spectrometers
get your spectra analyced as easy as Drag’n’Drop.
-
NIR-Predictor is an easy to use NIR software for all NIR devices
to produce quantitative results out of NIR data. -
CalibrationModel Service provides development of
customized calibrations out of NIR and Lab data. -
It allows to use NIR with your own customized
models without the need of Chemometric Software! -
We do the Machine Leraning for your NIR-Spectrometer
and with the free NIR-Predictor you are
able to analyze new measured samples. -
For NIR-Vendors we also offer the
Software Development Kit (SDK) for OEM Predictor use
via the Application Programming Interface (API).
Think of a sencod predictor engine,
as a second heart in your system.
Download
Key Features of NIR-Predictor
- Super flexible prediction with automatic file format detection
- Support for many mobile and desktop NIR Spectrometers file format
- Application concept allows to group multiple Calibrations together for an Application
- Prediction Report shows Histogram Charts of the tabulated prediction results
- Sample based Properties File Creator for combining NIR and Lab reference data
- Checked creation of a single file Calibration Request
Super flexible prediction
Loads multiple files at once in
- different file-formats and …
- different wave-ranges and wave-resolutions and …
- predicts each spectrum with all compatible calibrations and …
- merges the results in a report and …
- saves the report as HTML.
It allows you to
- comparing measurements
- compare different calibrations
- compare different spectrometers,
carry out your own round-robin amongst the vendors’ instruments. - compare different spectra file formats
With no configuration and no special menu command,
just drag & drop your data files.
Properties File Creator
A tool for the NIR-User to create the property file easily. It helps to create a CSV file from the measured spectra files with sample names and properties to edit in Spreadsheet/EXCEL software. Lets you enter Lab-Reference-Values in a sample-based manner, corresponding to your sample spectra for calibration. It contains clever automatic analysis mechanisms of inconsistencies in your raw-data to increase the data quality for calibration. Provides detailed analyzer information for manual data cleanup when needed.
It’s time saving and less error prone because you DON’T need to open each spectrum file separately in an editor and copy the spectral values into a table grid beside the Lab-values.
Properties File Creator saves you from:
- manually error prone and boring tasks
- importing multiple data files and combining it’s content manually into a single data file to append the lab reference values (aka properties)
- programming and writing scripts to transform the data into the shape needed
- no trouble with data handling of
- Wavelength / Wavenumber information (x-axis)
- Absorbance / Reflectance labeling (y-axis)
- checking compatibility of the raw data before merging
- Averaging Spectral Intensities of a Sample
- coping, flipping and transposing rows and colums to get the X-Block and Y-Block data sets ready for calibration modeling
- limited and error prone table grid functionality
Because it’s all automatic and you can check the results and get the analysis information!
Properties File Creator provides you - a individual template based on your raw-data for combining NIR and Lab-values - analysis and checks for better data quality for calibration
Top 8 Reasons why you should use
Automated NIR Calibration Service
- No subjective model selection
- No variation in results and interpretation
- No overfitting model
- Better accuracy
- Better precision
- Time saving!
- No software cost (no need for Chemometric software and training)
- One free prediction software for all your NIR systems
Reduce Total Cost of Ownership (TCO) of your NIR
To be ahead of competitors- by not owning a chemometric software
- by not struggling days with these complicated software
- by not deep dive into chemometrics theory
- You need to have the relevant skill sets in your organization.
- That means salaries (the biggest expense in most organizations)
- use the free NIR-Predictor together with your NIR-Instrument software
- as an NIR-Vendor, integrate the free NIR-Predictor OEM into your NIR-Instrument software
- don’t delay time-to-market
Download
About the included Demo-Spectra and Demo-Calibrations
The demo calibrations for the spectrometers from
- Si-Ware Systems
- Spectral Engines
- Texas Instruments
- VIAVI
are built with the raw data, thankfully provided from Prof. Heinz W Siesler, from this publication
“Hand-held near-infrared spectrometers:
State-of-the-art instrumentation and practical applications”
Hui Yan, Heinz W Siesler
First Published August 20, 2018 Research Article
https://doi.org/10.1177/0960336018796391
The demo calibrations for the FOSS are built with the
ANSIG Kaji Competition 2014 shootout data
http://www.anisg.com.au/the-kaji-competition
References
Quickstart: NIR-Predictor - Manual
Features and Version History: NIR-Predictor - Release Notes History
Supported NIR Spectra Formats: NIR-Predictor supported Spectral Data File Formats
Frequently Asked Questions: NIR-Predictor - FAQ
WebShop : CalibrationModel WebShop
New: NIR-Predictor V2.6 with new features
The new Version of the free NIR-Predictor
supports GRAMS .SPC, CSV, JCAMP and multiple native file formats
of miniature, mobile and desktop spectrometers
get your spectra analyced as easy as Drag’n’Drop.
-
NIR-Predictor is an easy to use NIR software for all NIR devices
to produce quantitative results out of NIR data. -
CalibrationModel Service provides development of
customized calibrations out of NIR and Lab data. -
It allows to use NIR with your own customized
models without the need of Chemometric Software! -
We do the Machine Leraning for your NIR-Spectrometer
and with the free NIR-Predictor you are
able to analyze new measured samples. -
For NIR-Vendors we also offer the
Software Development Kit (SDK) for OEM Predictor use
via the Application Programming Interface (API).
Think of a sencod predictor engine,
as a second heart in your system.
Download
Key Features of NIR-Predictor
- Super flexible prediction with automatic file format detection
- Support for many mobile and desktop NIR Spectrometers file format
- Application concept allows to group multiple Calibrations together for an Application
- Prediction Report shows Histogram Charts of the tabulated prediction results
- Sample based Properties File Creator for combining NIR and Lab reference data
- Checked creation of a single file Calibration Request
Super flexible prediction
Loads multiple files at once in
- different file-formats and …
- different wave-ranges and wave-resolutions and …
- predicts each spectrum with all compatible calibrations and …
- merges the results in a report and …
- saves the report as HTML.
It allows you to
- comparing measurements
- compare different calibrations
- compare different spectrometers,
carry out your own round-robin amongst the vendors’ instruments. - compare different spectra file formats
With no configuration and no special menu command,
just drag & drop your data files.
Properties File Creator
A tool for the NIR-User to create the property file easily. It helps to create a CSV file from the measured spectra files with sample names and properties to edit in Spreadsheet/EXCEL software. Lets you enter Lab-Reference-Values in a sample-based manner, corresponding to your sample spectra for calibration. It contains clever automatic analysis mechanisms of inconsistencies in your raw-data to increase the data quality for calibration. Provides detailed analyzer information for manual data cleanup when needed.
It’s time saving and less error prone because you DON’T need to open each spectrum file separately in an editor and copy the spectral values into a table grid beside the Lab-values.
Properties File Creator saves you from:
- manually error prone and boring tasks
- importing multiple data files and combining it’s content manually into a single data file to append the lab reference values (aka properties)
- programming and writing scripts to transform the data into the shape needed
- no trouble with data handling of
- Wavelength / Wavenumber information (x-axis)
- Absorbance / Reflectance labeling (y-axis)
- checking compatibility of the raw data before merging
- Averaging Spectral Intensities of a Sample
- coping, flipping and transposing rows and colums to get the X-Block and Y-Block data sets ready for calibration modeling
- limited and error prone table grid functionality
Because it’s all automatic and you can check the results and get the analysis information!
Properties File Creator provides you - a individual template based on your raw-data for combining NIR and Lab-values - analysis and checks for better data quality for calibration
Top 8 Reasons why you should use
Automated NIR Calibration Service
- No subjective model selection
- No variation in results and interpretation
- No overfitting model
- Better accuracy
- Better precision
- Time saving!
- No software cost (no need for Chemometric software and training)
- One free prediction software for all your NIR systems
Reduce Total Cost of Ownership (TCO) of your NIR
To be ahead of competitors- by not owning a chemometric software
- by not struggling days with these complicated software
- by not deep dive into chemometrics theory
- You need to have the relevant skill sets in your organization.
- That means salaries (the biggest expense in most organizations)
- use the free NIR-Predictor together with your NIR-Instrument software
- as an NIR-Vendor, integrate the free NIR-Predictor OEM into your NIR-Instrument software
- don’t delay time-to-market
Download
About the included Demo-Spectra and Demo-Calibrations
The demo calibrations for the spectrometers from
- Si-Ware Systems
- Spectral Engines
- Texas Instruments
- VIAVI
are built with the raw data, thankfully provided from Prof. Heinz W Siesler, from this publication
“Hand-held near-infrared spectrometers:
State-of-the-art instrumentation and practical applications”
Hui Yan, Heinz W Siesler
First Published August 20, 2018 Research Article
https://doi.org/10.1177/0960336018796391
The demo calibrations for the FOSS are built with the
ANSIG Kaji Competition 2014 shootout data
http://www.anisg.com.au/the-kaji-competition
References
Quickstart: NIR-Predictor - Manual
Features and Version History: NIR-Predictor - Release Notes History
Supported NIR Spectra Formats: NIR-Predictor supported Spectral Data File Formats
Frequently Asked Questions: NIR-Predictor - FAQ
WebShop : CalibrationModel WebShop