Probit Analysis Tool

Probit Analysis Tool is a WPF desktop application for probit analysis, LD50 estimation and confidence interval calculation.

The application is designed for experimental dose-response data where each row contains a dose, the total number of tested objects and the number of reacted objects.

Features

• Enter dose-response records through a WPF interface
• Store input rows in an editable table
• Calculate reacted percentage
• Calculate log10 dose values
• Convert response probability to probit values
• Apply Bliss/Abbott-style correction for boundary probabilities
• Perform weighted linear probit regression
• Estimate LD50
• Calculate LD50 standard error
• Calculate 95% confidence interval for LD50
• Calculate additional LDx values: LD10, LD16, LD25, LD50, LD75, LD84, LD90, LD95 and LD99
• Display detailed intermediate coefficients and result table
• Show an information window with common numerical issues and validation notes

Input data

Each input record contains:

Dose      Positive numeric dose value
NITG      Total number of tested objects
Reacted   Number of reacted objects

Example:

Dose,NITG,Reacted
0.5,20,1
1,20,3
2,20,8
4,20,15
8,20,19

The sample file is available in samples/sample_input.csv. Current prototype expects manual entry through the UI.

Technologies

• C#
• WPF / XAML
• .NET Framework 4.8
• MathNet.Numerics
• NuGet packages through packages.config

Project structure

ProbitAnaliz2.sln                    Visual Studio solution
ProbitAnaliz2/App.xaml               WPF app definition
ProbitAnaliz2/MainWindow.xaml        Main calculation UI
ProbitAnaliz2/MainWindow.xaml.cs     Probit calculation logic
ProbitAnaliz2/Info.xaml              Numerical notes window
ProbitAnaliz2/packages.config        NuGet package list
samples/sample_input.csv             Example input values

How to run

Requirements:

• Windows
• Visual Studio 2022
• .NET Framework 4.8 Developer Pack

Steps:

1. Clone the repository.
2. Open ProbitAnaliz2.sln in Visual Studio.
3. Restore NuGet packages.
4. Build and run the project.
5. Enter dose-response data and click Show Results`.

Current status

Prototype / work in progress.

The project is suitable as a portfolio example of scientific desktop software, WPF interfaces and statistical data processing. Future improvements may include CSV import/export, graph visualization, cleaner MVVM architecture, validation improvements and report generation.

Author

Created by HardesFaktorProg.