Supervised AI can be defined as an AI model that uses labels associated with ground truth annotations to classify or predict regions of interest. A supervising AI algorithm is very effective at segmenting images to detect boundaries of cells and tissue regions. It is, therefore, necessary to generate a labeled dataset of microscopy images containing accurate and representative ground truth labels. Please refer to Best Practices page to review how to create accurate and representative labels.