Loading video... VIDEO: A low-resolution time-lapse of a mitochondrial network (cell's powerhouse) inside a cancer cell (left) is enhanced using artificial intelligence (right). Inset at bottom left highlights a fission (splitting) event that... view more Credit: Salk Institute/Waitt Advanced Biophotonics Core LA JOLLA--(March 8, 2021) Deep learning is a potential tool for scientists to glean more detail from low-resolution images in microscopy, but it's often difficult to gather enough baseline data to train computers in the process. Now, a new method developed by scientists at the Salk Institute could make the technology more accessible--by taking high-resolution images, and artificially degrading them.