Catch up with our latest news!

Scientists at EPFL have published a guide to building an add-on that turns a standard optical microscope into an instrument capable of producing super resolution, 3D images of cells, organoids, and embryos.

EPFL researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other sensory prostheses.

With its secretariat hosted at EPFL, the <a href="https://skach.org/">Square Kilometer Array Switzerland</a> (SKACH) consortium is celebrating two years’ membership of a global project to develop the largest scientific facility ever built by humankind.

An AI program can train neural networks, using just a handful of images, to rapidly characterize in satellite and drone data new objects like ocean debris, deforestation zones, urban areas and more.

Researchers at EPFL and Max Plank have merged nonlinear optics with electron microscopy, unlocking new capabilities in material studies and the control of electron beams.

EPFL researchers develop an AI-driven, label-free method for studying protein aggregates, offering new perspectives in neurodegenerative disease research.