Digital pathology is the diagnosis via microscopic examination of tissue and cells from a biopsy using digital images. Novel whole slide imaging platforms can efficiently deliver 3D tissue image data in large quantities for use in Artificial Intelligence that aid the clinicians diagnoses. This requires not just a lot of data, but mostly data that is reliable and accurate. The aim of the project is to optimize the user value of 3D tissue image data by methods for validating and monitoring image quality and for enhancing the ratio of data value to data quantity.
