Curve-fitting Excel add-in and API service
Excel add-in for curve fitting
Assayfit Pro is an Excel add-in and API service for Mac Os and Windows. Curve fitting can be performed directly from measured data in Excel or from virtually any application.
For example it can be used directly from a web page.
Try it here by clicking on this request
fit online
Try it here by clicking on this request
fit online
Add-in for Excel Mac or Windows
Any software and cross platform
Assayfit Pro curve fitting for laboratory assays and other scientific data provides maximum flexibility as it can be used on any operating system and from many existing software packages.Use curve fitting functions like four parameter logistic, five parameter logistic and linear and Passing Bablok regression in Excel, Python, R and online. Create calibration curves and calculate unknown values.
Use it to automate curve fitting and write your own scripts.
A free API key is available. Paid plans provide additional features. Join now and try examples in Excel, R, Python and others.
How to use
Free version of Assayfit Pro
To use the free version obtain a free API key at Assaycloud.com, no credit card required, and download the templates for Excel, R, Python, Java and C sharp for Assayfit Pro.You can use the API key for two weeks with unlimited renewal options after your key is expired.
The free API key will allow you to use 50 curve fits with almost identical features as the payed versions
Paid plans
Paid plans provide an unlimited number of curve-fits and more data points (up to 500). You can choose from three paid plans, the INDIVIDUAL, GROUP and PREMIUM plans.The INDIVIDUAL plan is a single user plan, the GROUP key is a multi-user plan.
The PREMIUM plan is a custom plan for large data sets.
Compare plans or view the full feature list below. Additional information is available on assaycloud.com.
Features
Fit functions
- Linear curve fitting
- Linear Passing-Bablok regression
- 4PL Four parameter logistic
- 5PL Five parameter logistic
- 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
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
- 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)
- Free trial of full service
Pricing
Choose a payment plan that works for you
Free
50 curve fits per period
2 weeks valid
20 standards
96 unknown values
Registration required
Individual
Unlimited curve fits
1 month up to one year
500 standards
500 unknown values
Individual account
Group
Unlimited curve fits
1 month up to one year
500 standards
500 unknown values
Share with your team
Premium
Unlimited curve fits
1 month up to one year
5000 standards
5000 unknown values
Share with your team
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