PeakFit

PeakFit是一款功能强大的数据峰值分析工具，可以全面满足用户对数据拟合的要求。该软件支持各种数据文件格式，用户不需要对数据进行分类设置。PeakFit会根据数据的类型自动分析用户导入的数据，拟合出各项数据的峰值产生谱峰分析图。

PeakFit可以帮助您精准的检测出隐藏的山峰，并可以对其进行分离和量化。它还支持删除和修改局部的山峰和峰值，可将修改后的数据重新导入分析，无需重建。

PeakFit v4.12是一种先进的非线性曲线拟合程序，对于准确的峰分析和结论性发现至关重要。...

PeakFit Automatically Places Peaks in Three Ways

PeakFit uses three procedures to automatically place hidden peaks; while each is a strong solution, one method may work better with some data sets than others.

The Residuals procedure initially places peaks by finding local maxima in a smoothed data stream. Hidden peaks are then optionally added where peaks in the residuals occur.

The Second Derivative procedure searches for local minima within a smoothed second derivative data stream. These local minima often reveal hidden peaks.

The Deconvolution procedure uses a Gaussian response function with a Fourier deconvolution / filtering algorithm. A successfully deconvolved spectrum will consist of “sharpened” peaks of equivalent area. The goal is to enhance the hidden peaks so that each represents a local maximum.

If PeakFit’s auto-placement features fail on extremely complicated or noisy data, you can place and fit peaks graphically with only a few mouse clicks. Each placed function has “anchors” that adjust even the most highly complex functions, automatically changing that function’s specific numeric parameters. PeakFit’s graphical placement options handle even the most complex peaks as smoothly as Gaussians.

With PeakFit’s visual FFT filter, you can inspect your data stream in the Fourier domain and zero higher frequency points — and see your results immediately in the time-domain. This smoothing technique allows for superb noise reduction while maintaining the integrity of the original data stream.

PeakFit also includes an automated FFT method as well as Gaussian convolution, the Savitzky-Golay method and the Loess algorithm for smoothing. AI Experts throughout the smoothing options and other parts of the program automatically help you to set many adjustments. And, PeakFit even has a digital data enhancer, which helps to analyze your sparse data. Only PeakFit offers so many different methods of data manipulation.

PeakFit’s non-parametric baseline fitting routine easily removes the complex background of a DNA electrophoresis sample. PeakFit can also subtract eight other built-in baseline equations or it can subtract any baseline you’ve developed and stored in a file.

Every publication-quality graph (see above) was created using PeakFit’s built-in graphic engine — which now includes print preview and extensive file and clipboard export options. The numerical output is customizable so that you see only the content you want.

For most data sets, PeakFit does all the work for you. What once took hours now takes minutes – with only a few clicks of the mouse! It’s so easy that novices can learn how to use PeakFit in no time. And if you have extremely complex or noisy data sets, the sophistication and depth of PeakFit’s data manipulation techniques is unequaled.

产品功能

The product features for PeakFit are detailed below in the following categories:

• ASCII
• Excel
• Lotus 123
• Quattro Pro Windows
• SigmaPlot
• AIA Chromatography
• dBase III+, IV
• DIF
• ASCII and Spreadsheet – like Editors
• Averaging Digital Filter

• Gaussian Deconvolution to remove Spectrophotometer Instrument Response smearing
• Exponential Deconvolution to remove Chromatographic Detector Response smearing
• Smoothing (Savitsky Golay, FFT Filter, Loess, Gaussian Convolution)
• Real – time FFT/Time Domain Graphical Editor
• Dual Graph Data Sectioning with Graphical data point exclusion
• Non – Parametric Digital Filter to Filter or augment data
• Compare with Reference
• Subtract Baseline Imported from File
• Data Transforms
• Area Normalization
• Inspect Second and Fourth Derivatives
• Data Weighting

• Automatic by Local Maxima and Residuals
• Automatic by Second Derivatives
• Automatic by Deconvolved Local Maxima
• Graphical Placement and Adjustments
• Manual Parameter Adjustments
• Share and Lock Parameters
• Constant or V ariable Widths and/or Shape in a single step

• Marquardt – Levenburg Algorithm
• 83 built-in nonlinear peak models
• Least – Squares and 3 Robust (Maximum Likelihood) methods
• Up to 100 Peaks and 1000 Parameters
• Intelligent Constraints to insure Fit Integrity
• Sparse Curvature Matrix for Faster Fitting
• Both Numeric and Graphical Fitting Options
• Zoom – in or Toggle Points during Fitting

• File Export with full Generated Data: Lotus 123, Excel, Quattro Pro Windows, SigmaPlot, and ASCII
• Graphs to clipboard or file in BMP or WMF formats
• All Numeric data in Graph to Clipboard in Spreadsheet Format

系统需求

• 486 Processor or higher
• 16 MB RAM required (32 MB or more recommended)
• 10MB hard disk space

Windows 10, 8.x,7, Windows Vista, 95, 98, NT and XP (32 bit)

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