The Most Overlooked Precursor to Digital Pathology Initiatives: Pre-Analytics Quality Control
Speaker: Liron Pantanowtiz, MBBCh, University of Michigan 

May 4, 2022 

The interest in digital pathology systems has exploded in recent years, and the inclination at the start of a deployment is to focus on image acquisition, storage, workflow and data integration. Experience has proven, however, that they key precursor is pre-analytic quality control. Scanned images must meet predetermined diagnostic criteria to successfully avoid scanning rework and its associated costs.

Software solutions are now emerging that will analyze images so unacceptable ones never reach pathologists’ screens. Join us for this webinar to learn the steps to ensure total image quality control in a digital pathology program.