The Imaging Experiment cycle

The steps of a quantitative imaging experiment are mutually interconnected. Each quadrant represents one of the key steps of a typical bioimaging experiment, from sample preparation to image acquisition, image analysis, and data interpretation. 

Decisions made at each step feed forward to affect subsequent steps. Analogously, desired endpoints inform how earlier steps should be performed. For this reason, managing data and metadata across the entire life cycle is paramount to guarantee the production of high-quality AI/ML-ready datasets.