Machine learning is supposed to help us do everything these days, so why not electron microscopy? A team from Ireland has done just that and published their results using machine learning to enhance ...

Before and after: example of image denoising as applied to atomic resolution imaging of a gold nanoparticle. On the left is the original experimental data as captured. On the right is the same image ...

Finding defects in electron microscopy images takes months. Now, there’s a faster way. It’s called MENNDL, the Multinode Evolutionary Neural Networks for Deep Learning. It creates artificial neural ...

Beams of accelerated electrons power electron microscopes, X-ray lasers, medical accelerators and other devices. To optimize the performance of these applications, operators must be able to analyze ...

Discover how electron microscopy advances plant and microbial research with expert insights from the John Innes Centre’s ...

Machine learning (ML) and artificial intelligence (AI) methodologies are having a revolutionizing impact in advancing biomolecular imaging and informatics, improving medical diagnosis, and enabling ...

From a dragonfly to marine organisms, photographer Michael Benson zoomed in with powerful scanning electron microscopes to ...

Textbook descriptions of brain cells make neurons look simple: a long spine-like central axon with branching dendrites. Taken individually, these might be easy to identify and map, but in an actual ...