As digital pathology volumes grow, manual quality control is struggling to keep pace. Slide defects like out-of-focus regions and missed tissue can slip through undetected, reaching pathologists' queues and undermining diagnostic confidence, turnaround times, and AI readiness.
In this webinar, we explore how AI-powered automation is transforming lab QC: catching issues early, reducing rework, and ensuring only the highest-quality images reach your pathologists.
What you’ll learn
Why manual QC breaks down at scale — and the hidden costs when it fails
How automated QA improves speed, consistency, and workflow efficiency across your lab
- Why image quality is the foundation of every successful digital pathology and AI strategy
This webinar is ideal for…
Lab managers, QC staff, researchers and anyone involved in managing whole slide imaging workflows and their quality control
Fill the form below to access the webinar recording!
About Katherine Latimer
Product Manager Digital Pathology at Barco
Kat Latimer holds a Master of Engineering in Biomedical Engineering from Colorado State University and a BS in Biochemistry from the University of New Mexico. Her graduate research focused on tissue engineering and end-to-end medical device development. After spending several years at Indica Labs, she currently leads Barco’s digital pathology product efforts.
