A casual opportunity immediately following the Millennium Café to learn about the breadth of analytical capabilities within the Materials Characterization Laboratory (MCL). These brief (30 minute) multi-technique and interdisciplinary talks will highlight applications (not theory) to provide useful insights to novice and experienced researchers working across various science and engineering challenges.
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.