QuantumMaterialsModelling/AiSurf-Automated-Identification-of-Surface-images
AiSurf is an open-source package for analyzing surface microscopy images, based on established computer vision and machine learning techniques. It is designed to be user-friendly and easy to use
This tool helps materials scientists and researchers automatically analyze atomic-scale microscopy images, such as those from AFM or STM. You input raw surface images, and it outputs details like primitive lattice vectors, unit cells, structural distortions, or atom counts. It's designed for anyone working with surface microscopy who needs to quickly extract structural information without extensive manual image processing.
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Use this if you need to extract precise structural information like lattice vectors or atom counts from your atomic force microscopy (AFM) or scanning tunneling microscopy (STM) images quickly and without writing code.
Not ideal if your primary need is general image manipulation or analysis of images that are not atomically resolved surface microscopy.
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Oct 02, 2025
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