Despite advances in 3D imaging such as MRI and CT, scientists still rely on slicing a specimen into 2D sections to acquire the most detailed information. Using this information, they then try to reconstruct a 3D image of the specimen. Researchers report a new algorithm that can do this task at less cost and higher robustness than standard methods.