Matlab R2018b added default axes mouse interactivity at the expense of performance. Luckily, we can speed-up the default axes.
Undocumented plot marker styles can easily be accesses using a hidden plot-line property.
Matlab plot legends and their internal components can be customized using a variety of undocumented properties that are easily accessible.
Images can be automatically color-scaled for maximum resolution, using the undocumented MarkedClean event.
It is very easy to add custom user-defined properties and methods to GUI handles and Java references in Matlab.
Multiple customizations can be applied to tick labels.
Basic bar charts and histogram plots can be customized in important aspects.
A combination of Matlab and Java Robot commands to automate a certain animation can be used when we cannot access
Matlab contour labels' color and font can easily be customized.
My article on "Tips for Accelerating MATLAB Performance" was recently featured in the September 2017 Matlab newsletter digest.