Minkang Zhang Enhances Microscopic Image Analysis Through Deep Learning and Intelligent AFM Processing

An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to ...
AZOM

Using AFM and Machine Learning to Classify Bulk Mechanical Properties of Impact CoPolymers

Microscopists often wish – and intuit – that the microstructures that they measure correlate somehow to bulk properties. However, this correlation can be hard to measure. Machine learning, in ...
Nanowerk

Mechano-spectroscopic AFM technique combines high-res imaging with machine learning classification

(Nanowerk News) Take a photo with your phone and you might see wonderful details—leaves on a tree, strands of hair blowing in the wind. The width of that strand of hair is 100,000 nanometers wide. The ...
AZOM

Using Machine Learning Alongside AFM to Identify Interfacial Ionic Hydrates

This article discusses a recent study in pre-print in the journal arXiv about a modified method of using atomic force microscopy (AFM) images for a cost-effective structure prediction of ionic ...