Features
Fit Functions
- Linear curve fitting
- Linear Passing-Bablok regression
- Linear Deming regression
- 4PL Four parameter logistic
- 5PL Five parameter logistic
- Enzyme kinetics Michaelis-Menten
- Second order polynomial
- Third order polynomial
- Point to point (cubic spline)
- Univariate spline
- your own fit function (inquire)
Fit Input parameters
- x and y data
- Weights
- Custom start values
- Apply fit limits
- fit function
- Extrapolate
- Calculate unknown y value from
- calibration curve
- Calculate unknown x value from
- calibration curve
- 96 well input
- Plate layout
- Sample ID
Output parameters
- xdata (your standard x values)
- ydata (your standard y values)
- residuals
- weights
- parameter start values
- parameters after optimisation
- SD or upper an lower limit of the
- parameters (for some functions)
- weighted sum of squares
- correlation coefficient (for linear fits)
- Calibration curve limits
- yknown values (values of which you known the y value and want to calculate the fitted x value)
- x values calculated from y values
- xknown values (values of which you know the x value and want to calculate the fitted y value
- y calculated from xknown values
- x coordinates of the fit curve (100)
- y coordinates of the fit curve (100)
Programming
- Javascript curve fitting
- Standard curve Excel
- Dose response curve excel
- Polynomial regression Excel
- Excel automation example
- Nonlinear regression in r
- Curve fit python
- C# curve fitting
- VB.net template
- (linear) regression java
- Any other sofware which can send http get and post commands
Cross platform use
- Excel Add-in for Mac OS and Windows
- Libreoffice – Openoffice templates from Mac Os, Windows and Linux.
- Software API to create your own software
- Online curve fitting tool
Support
- Support over email and phone (only if required)
- Help with creating templates or software (inquire)
- Company branding
- Free trial of full service
