Machine learning reduces microscope data processing time from months to just seconds

With a new method that combines high-powered scanning force microscopes and machine learning, IBEC researchers have drastically reduced the processing time required to achieve nanoscale biochemical compositions map from electric images of eukaryotic cells in just seconds. Using earlier computation methods, processing one image could take even months. This study can provide an invaluable tool to biologists conducting basic research and it also has the potential to be used in a host of biomedical applications.