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In the latest Graphics and App Building blog article, documentation writer Jasmine Poppick modernized a figure-based bridge analysis app by replacing uicontrol with new UI components and uifigure, resulting in cleaner code, better layouts, and expanded functionality in R2025a.
https://blogs.mathworks.com/graphics-and-apps/2025/08/19/__from-uicontrol-to-ui-components
This article covers the following topics:
Why and when to move from uicontrol and figure to modern UI components and uifigure.
How to replace uicontrol objects with equivalent UI component functions (uicheckbox, uidropdown, uispinner, etc.).
How to update callback code to match new component properties and behaviors.
How to adopt new UI component types (like spinners) to simplify validation and improve usability.
How to configure existing components with modern options (sortable tables, auto-fitting columns, editable data).
How to apply visual styling with uistyle and addStyle to make apps more user-friendly.
How to use uigridlayout to create flexible, adaptive layouts instead of manually managing positions.
The benefits of switching from figure to uifigure for app-building workflows.
A full before-and-after example of modernizing an existing app with incremental, practical updates.
- Control System Design with MATLAB and Simulink (learning path – includes the 5 controls courses listed below)
- Control System Modeling Essentials
- Linearization of Nonlinear Systems
- Control System Analysis Techniques
- PID Control Techniques
- Classical Controller Design Techniques
- Battery State Estimation
- Motor Modeling with Simscape Electrical

- NKTg₁ = x * p
- NKTg₂ = (dm/dt) * p
- NKTg₁ > 0 → tendency to move away from equilibrium
- NKTg₁ < 0 → tendency to move toward equilibrium
- NKTg₂ > 0 → mass variation supports motion
- NKTg₂ < 0 → mass variation resists motion

- Unit testing Framework
- Test Browser App
- Code Coverage
- Test Fixtures (Setup and teardown)
- Test driven devellopment
- Function argument validation
- CI/CD using GitHub actions

- Power systems and control theory without needing real generators or oscilloscopes,
- Hydrology and environmental modeling without field sensors,
- Robotics and AI concepts even where no robot is available.
- I could directly call MATLAB functions from C# as if they were .NET assemblies, without middleware.
- Simulink blocks could generate portable C# code (not just C/C++).
- MATLAB UI components could be embedded in WPF/WinForms apps natively.
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