The Reward-Driven Workflow for Image Analysis in Electron Microscopy (RDW) introduces a novel approach in scientific research, harmonizing expert guidance with straightforward algorithms to refine image analysis. This method utilizes a Reward Function combined with Bayesian Optimization to ensure that the analysis process aligns precisely with human-defined objectives. By employing RDW, analysts can tailor and enhance their image analysis protocols in real-time, securing outcomes that meet predefined experimental goals.
AtomAI: GitHub Repository