AI advancements in microscopy are reshaping electromechanical measurements, streamlining automated experimentation and driving innovation in materials research.

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Python library to handle Scanning Probe Microscopy Images. Can read nanoscan .xml data, Bruker AFM images, Nanonis SXM files as well as iontof images(ITA, ITM and ITS).