This talk will introduce ImageJ (now called FIJI), an open-source image analysis software with a plugin that runs a machine learning algorithm (WEKA segmentation) and how this can be used to help with feature recognition and image segregation from any image-producing characterization technique (optical microscopy, SEM, TEM, AFM, etc.). I will provide examples where this software has been implemented to accelerate materials identification and improve statistical analysis of material concentration.