Download PeakLab 1.08.01 (x64)
PeakLab AIST Software full crack license download, Scientific Software for Spectroscopy and Chromatography Peak Fitting and Analysis in Analytical chemistry.
Spectroscopic Peak Fitting
PeakLab’s fitting of spectroscopic peaks is unsurpassed for accuracy and ease of use. From a true Voigt function with a full precision only matched by Mathematica™, to modeling Gaussian, Lorentzian, and Voigt models with asymmetric instrument response functions as seen in XPS and Raman spectra, to fitting the full theoretical shapes in Gamma Ray spectra, PeakLab will easily manage every difficult spectral modeling problem. PeakLab uses a number of new patentable peak fitting algorithmic innovations to effortlessly get you the correct solution, an important consideration in any iterative nonlinear optimization. PeakLab dramatically augments and complements your spectroscopy instrumentation software.
Chromatographic Peak Fitting and System Suitability
PeakLab’s new analytic modeling technologies make in possible to fit every chromatographic peak, baseline resolved or overlapping, to an unprecedented level of accuracy. This results in noise-free and instrumental distortion-free separation parameters for system suitability. Columns and instruments can now be measured separately. New fitting and deconvolution methods for estimating instrument response functions are invaluable for detecting flow system irregularities and column aging. With respect to data system AI applications, PeakLab can replace the large number of raw data values for each peak with a handful of theoretically meaningful parameters that dramatically enhances the capability of AI engines to process peak information. PeakLab augments your instrumentation software by taking you into the world of state-of-the-art 2024 analytics for chromatography.
UHPLC Gradient and Preparative Peak Modeling
If you are in an R&D setting where the quantification of coeluting peaks is important, PeakLab’s new chromatographic models can fit real-world chromatographic peaks to less than 1 ppm unaccounted variance, three orders of magnitude better than any other existing peak modeling software. This incudes new models and technology for high accuracy fitting of HPLC and UHPLC gradient peaks as well as the complex shapes seen in preparative chromatography. PeakLab offers a first, the fitting of Fourier convolution and deconvolution models in a nonlinear peak-fitting procedure. This allows both instrumental distortions and gradient compactions to be estimated directly within the peak fits.
Statistical Probability Density Modeling
For statisticians, PeakLab furnishes a library of nearly one hundred continuous univariate probability densities for fitting and quantifying the histograms and kernel densities generated from statistical data. PeakLab includes a peak discovery feature where the most likely models are identified with only a single button click. The new statistical models include many of the generalizations being widely used in current statistical modeling.
Fourier Deconvolution and IRF Estimation
PeakLab offers state of the art deconvolution of instrument response functions, including IRF models which have proven to accurately describe real-world instrument system distortions as well as the asymmetry observed in XPS and Raman peaks. The technology includes our own advanced genetic algorithm that directly estimates an IRF from an optimization of the Fourier deconvolution. PeakLab’s interface allows up to 25 data sets to be simultaneously fit or preprocessed in a single visual step.
Chemometric Modeling
A major innovation in PeakLab in support of spectroscopy is a new chemometric modeling system that algorithmically redefines the state of the art in the science. If you wish to create a predictive model for a chromatographic or other elaborate laboratory measurement that you wish to quickly estimate using a fast spectroscopic analysis, PeakLab offers predictive models that consistently outperform all current PLS and PCR ‘unscramble’ algorithms. The PeakLab predictive models are faster, more robust, more accurate, much easier to understand, and child’s play to implement in automated or web-based systems. PeakLab will even write the C++ or VB code for you.
Key capabilities and features of PeakLab software
- Chromatographic Peak Modeling
- Understanding PeakLab’s Models
- The Quest for a Universal Chromatographic Fit
- Nonlinear Peak Fitting
- Chromatographic Peaks Overview
- Model Discovery
- Generalized Models and ZDDs
- ZDD Concepts
- Common Distortion Model
- Building Generalized HVL and NLC Models
- Generalized HVL Models
- Generalized NLC Models
- Equivalence GenHVL and GenNLC
- Generalized TwoState HVL Models (Experimental)
- Instrument Response Functions
- IRF Concepts
- IRF Determination
- IRF Estimation – Standards
- IRF Estimation – Fronted Peaks
- IRF Estimation – Tailed Peaks
- IRF Estimation – GC
- IRF Model Fits
- HPLC Gradient Peak Modeling
- HPLC Gradient Peaks
- HPLC Gradient Peaks – Direct Closed-Form Fits
- HPLC Gradient Peaks – Fitting a Deconvolution Model
- HPLC Gradient Peaks – Fitting the Unwound Data
- Tutorials
- Chromatography Peak Modeling (Tutorial)
- Chromatographic Experiments (Tutorial)
- IRF Deconvolution and Fitting (Tutorial)
- HPLC Gradient Peaks – Direct Closed Form Fits (Tutorial)
- HPLC Gradient Peaks – Fits Which Model the Gradient (Tutorial)
- HPLC Gradient Peaks – Fitting Unwound Data (Tutorial)
- Fitting Hidden Peaks (Tutorial)
- HPLC Column Health and Overload (Tutorial)
- Fitting Preparative (Overload) Peaks (Tutorial)
- User Function Fitting – Experimental IRFs (Tutorial)
- Two-State Experimental Models (Tutorial)
- Modeling Spectra Tutorial I – Liquid UV-VIS (Tutorial)
- Modeling Spectra Tutorial II – Powder FTNIR (Tutorial)
- Fitting Coeluting Peaks (Tutorial)
- White Papers
- Generalized Chromatographic Models (White Paper)
- Chromatographic Models and IRFs (White Paper)
- Gradient HPLC Peaks (White Paper)
- Fitting Preparative (Overload) Peaks (White Paper)
- XPS Spectral Shapes (White Paper)
- Modeling UV-VIS Data (White Paper)
- Modeling FTNIR Spectra (White Paper)
- Modeling NIR Field Site Data (White Paper)
- Comparison PLS, PCR, Direct Spectral Fitting (White Paper)
- PeakLab Software
- PeakLab General Operations
- Main Data Window
- Data Table Statistics
- AIA net CDF File Information
- Manage Saved Fits
- File Menu
- ASCII Editor
- Weighting Data
- PeakLab Editor
- Text Viewer
- Edit Menu
- Help Menu
- Import
- 3D DAD Chromatography
- Printing Text
- Text Editor
- Data Titles
- Tool Bar
- PeakLab Data Preparation
- Data Menu
- View and Compare Data
- Transform Data
- Baseline
- IRF Deconvolution
- Voigt Deconvolution
- IRF Dialog
- Section Data
- View Function(X)
- PeakLab DSP (Digital Signal Processing)
- Fourier S/N Estimation
- Fourier Estimation of Spectroscopic Resolution
- FFT Algorithms
- Data Tapering Windows
- Fourier Spectral Processing
- Smooth
- Interpolate/Upsample
- Fourier Domain Filtering
- PeakLab Fitting
- Peaks Menu
- Fitting Peaks Overview
- Fit Local Maxima Peaks
- Fit Hidden Peaks Residuals
- Fit Hidden Peaks Second Derivative
- ZDD Dialog
- Fit Strategy
- Graphical Fitting
- Genetic Algorithm
- Import Scan Parameter Estimates
- Peak Popup
- Common Parameters
- Robust Fitting
- Peak Fit Preferences
- Model Experiment
- Search for Optimum Model
- Segment Fit
- User-Defined Peaks
- User Function Fitting – Experimental ZDDs
- Maple and Mathematica Import
- PeakLab Fit Analysis
- PeakLab Review
- Map Identification to Peaks
- Deconvolution Levels
- Numeric Summary
- Database/Excel Numeric Summary Extract
- Deconvolved Moments
- Map Experimental Process Variables
- Explore
- Residuals Graph
- Export
- Evaluation Procedure
- Data Summary
- Step-by-Step 1-Variable Chromatography Expt
- PeakLab Spectroscopic Modeling
- Full-Permutation GLM Modeling
- Import Spectroscopic Modeling Data
- Graph All Data Sets in Spectroscopic Data Matrix
- Generate GLM Data Matrix
- Modify GLM Data Matrix
- Combine or Partition Data Matrices
- Fit GLM Models
- GLM Review
- GLM Model List
- GLM Numeric
- GLM Data
- GLM Prediction
- GLM Performance Analysis
- GLM Significance
- GLM Graph Titles
- Import GLM Models
- Clear All Model Data
- PeakLab Graphs
- PeakLab Graph
- Array Layout
- Printing Graphs
- Graph Copy
- Graph Save
- MS Word Stream
- Graph Scaling
- Graph Scaling 3D
- Graph View
- Graph View 3D
- Graph Point Format
- Graph Point Format 3D
- Graph Custom Titles
- Graph Custom Titles 3D
- Graph Colors
- Graph Colors 3D
- Modify Contour Properties
- Modify Surface Properties
- Specify Surface Modeling
- Modify 3D Animation
- Confidence and Prediction Intervals
- Peak Labels
- Reference Lines
PeakLab software details:
- Supported operating systems: Windows 10, 11 x64
- File size: 60 MB
- Crack: full crack (Permanent license for unlimited PC)
