PeakLab 1.08

PeakLab software is a specialized tool for analyzing, fitting, and modeling peaks in spectral, chromatography, and chemometric analysis data. This software, a product of AIST Software, uses up-to-date algorithms to enable accurate peak modeling and instrument response function analysis. The ability to simulate distortions caused by device performance and provide advanced statistical models has made it a powerful option in the field of spectroscopy and data analysis.

PeakLab software supports simultaneous data fitting, multivariate statistical analysis, and instrument response function modeling. Specifically designed for XPS, Raman, NMR, UV-Vis, and chromatography analysis, PeakLab is capable of fitting hundreds of different models. Its user interface is optimized for working with multiple data sets simultaneously and provides the user with a variety of interactive graphical tools.

Peak modeling

Peak modeling is a key tool in analytical sciences, chemistry, physics, pharmaceuticals, and instrumentation engineering to extract accurate information from experimental data. This process is particularly used in the analysis of signals that appear as peaks (e.g., spectroscopy, chromatography, XRD, etc.). This method uses mathematical functions such as Gaussian, Lorentzian, or Voigt to accurately extract features such as peak position, height, width, and area. The purpose of peak modeling is to separate overlapping peaks, correct for instrument-induced distortions, and obtain quantitative and qualitative information about compounds or structures. This process plays a key role in determining the composition of materials, analyzing crystal structure, dynamic behavior, and interpreting physical and chemical responses in basic science and engineering.

PeakLab Software Features

• Peak fitting with over 700 known models (Advanced Peak Fitting Models)
• Complex peak modeling such as Voigt, Asymmetric Gaussian, and Pearson VII (Voigt and Asymmetric Peak Profiles)
• Instrument Response Deconvolution with Genetic Algorithms
• Chemometric analysis with advanced nonlinear algorithms (Nonlinear Chemometric Modeling)
• Statistical Histogram Fitting with nearly 100 probability distribution functions
• Automated Peak Discovery
• Batch Multi-dataset Fitting
• Precise preprocessing tools such as Baseline Correction & Smoothing
• High-resolution Scientific Graphs
• Support for User-defined Model Functions

Peak modeling

• XPS, Raman, NMR and FTIR spectra analysis
• Fitting HPLC and GC data
• Accurate modeling of distortion of analytical tools
• Chemometric analysis and data mining in analytical laboratories
• Developing statistical models for empirical data