Sample Centering with Google’s AutoML
SIBYLS beamline scientist, Scott Classen, collaborated with ScienceIT consultants Shawfeng Dong and Fengchen Liu to use AutoML machine learning for the LoopDHS project. As part of the effort, IT student intern Jordan Jung developed a training dataset for the model to improve the accuracy. These developments enabled Dr. Classen to develop loopDHS a custom software plugin for the control system which has sped up data collection at beamline 8.3.1. Read more about the process in this news highlight on the IT website.