NEWS RELEASES

A research team led by UCLA and the University of Rochester has demonstrated a promising evolution of an imaging system designed to capture details within “complex media,” which scatter light, from depicting structures inside body tissue to seeing obstacles through heavy fog. The system uses physics-based machine learning to improve upon an existing imaging technique. 

In tests with standard calibration images obscured by complex media, the new system more than doubled the signal-to-noise ratio compared to a previous generation of the technology. The system also created images in close to real time — thousandths of a second.

An accelerator of the highest-energy protons in our galaxy has been identified; it could help scientists better understand the nature of these fast-moving particles that fill the space between stars.

When some species of bacteria find themselves in an environmentally stressful situation they can hunker down and form spores—hardened protein-coated spheres protecting a DNA-filled core, stable for years or even centuries. Tufts researchers have found new ways to expand the potential for using bacterial spores as catalysts for chemical reactions, biofuel production, or breaking down pollutants

Terahertz waves have major potential in high-speed communication, imaging, security screening and sensing, but are still underused due to complex and bulky systems. UCLA researchers integrated laboratory-sized terahertz systems onto one semiconductor chip, opening the door to compact, scalable devices. The breakthrough focused on quantum well semiconductor structures — ultrathin layers engineered to control light — that can generate, detect, modulate and amplify terahertz signals on a single chip.