Atomic force microscopy is a powerful technique that has been widely used in materials research, nano-imaging, and bioimaging. It is a topographical metrology approach that is commonly utilized in ...
The deep learning algorithm developed by researchers at the University of Illinois Urbana-Champaign is trained to remove the effects of the probe’s width from AFM microscope images. As reported in the ...
In this interview, Professor Emeritus Mervyn Miles at the University of Bristol speaks about the history and technology behind Atomic Force Microscopy (AFM) and Scanning Probe Microscopy (SPM). Can ...
Thought LeaderProf. Dr. Sergei KalininProfessor & Chief Scientist in AI/ML for Physical SciencesUniversity of Tennessee & Pacific Northwest Laboratory In this interview, Prof. Dr. Sergei Kalinin ...
Atomic force microscopy, or AFM, is a widely used technique that can quantitatively map material surfaces in three dimensions, but its accuracy is limited by the size of the microscope’s probe. A new ...
SANTA BARBARA, Calif.--(BUSINESS WIRE)--Oxford Instruments Asylum Research today announces the release of AR Maps, a new and powerful data analysis software package for the Jupiter XR atomic force ...
Researchers have developed a deep learning algorithm for removing systematic effects from atomic force microscopy images, enabling more precise profiles of material surfaces. Atomic force microscopy, ...