OriginPro offers all of the features of Origin plus extended analysis tools in the
The Peak Analyzer
tool in OriginPro provides the additional capability of finding and
fitting multiple peaks in your spectra. Baseline anchor points can be customized and
fit with a suitable fitting function, and the baseline fitting can be included as
part of the final peak fitting process. A detailed Fit Control dialog is provided to
control all aspects of peak fitting including mixed peak
functions, peak centers and widths, sharing parameters, and imposing bounds and linear
constraints on parameters. Graphical as well as tabular results are generated as part of
the final fit report.
OriginPro can fit a 3D surface to XYZ data points. The surface and data points can be
displayed together, including droplines from the points to the surface.
OriginPro expands on the statistical analysis capabilities of Origin by providing additional tools for Descriptive Statistics, Discrete Frequency Counting, Normality Tests, Correlation Analysis, One-way and Two-way Repeated Measures ANOVA, Principal Component Analysis, Hierarchical Cluster and Discriminant Analysis, many Nonparametric Tests such as Friedman ANOVA and Two-Sample Kolmogorov-Smirnov Test and Mann-Whitney Test, Survival Analysis tools including Weibull Fit and Cox Proportional Hazard Model, ROC Curves, and Power and Sample Size Tests.
Advanced signal processing features in OriginPro include Short-Time FFT (STFT), Hilbert
Transform, Coherence, 2D FFT and 2D FFT-based Filtering, 2D Correlation, and Wavelet
Gadgets provide a quick and easy way to perform exploratory analysis on data plotted in a graph. OriginPro provides two additional gadgets: Cluster and Rise Time.
OriginPro offers more ways to handle your image data, including alpha blending,
pixel logic, morphological filtering, and interpolated background subtraction.
Multi-Peak Fitting with Residuals
Automatically find multiple peaks
and deconvolute overlapping peaks
3D Curve Fitting:
Surface Fitting with Droplines
Apply transparency to the fit surface to
better see the relationship
fit and the data
Statistics: Survival Analysis
Choose from three widely-used survival
function models: Kaplan-Meier, Cox,
Signal Processing: Short-Time FFT
Visualize the frequency distribution of
time variant signals
Gadget: Cluster Gadget
The Cluster Gadget performs simple statistics
on a region of interest (ROI) in a graph.