SLAC researcher Adi Hanuka (IMAGE) DOE/SLAC National Accelerator Laboratory Caption SLAC research associate Adi Hanuka led the development of a new virtual diagnostic tool, a machine learning algorithm that can help optimize the performance of X-ray lasers, electron microscopes, medical accelerators and other devices that depend on high-quality beams. Credit Efrat Eshel Usage Restrictions None License Licensed content Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.