atomic force microscopy

A new physics-guided artificial intelligence approach uses four input channels to restore atomic force microscopy images while relying on fewer parameters than conventional methods. Reported by Bioengineer.org, the technique embeds physical constraints into the model, aiming for more efficient and reliable image reconstruction. The work is drawing interest among researchers in microscopy and bioengineering for its potential to improve image quality with lighter computational demands.