Chemists at Florida State University have developed a tool that uses robotics and machine learning to identify chemical compositions from images with 99% accuracy, researchers say. The Robotic Drop Imager, which could be used in law enforcement and space exploration, prepares thousands of samples daily, creating a large image library for analysis.