Webinar | Implementing and using slide QC in digital pathology: Lessons from Michigan Medicine
Tuesday, 10th November 2026 | 10 AM EST / 4 PM CET
What you will learn
- Identify common whole slide image quality failures and how they affect diagnosis and downstream AI.
- Describe how to split QC between automated screening and human review.
- Discuss how to set thresholds, rescan criteria and validation when implementing an automated QC tool.
- Apply lessons from implementation and daily use to your own laboratory, including limitations and failure modes.
This webinar is ideal for...
Digital pathology program leads, laboratory managers, pathologists and professionals responsible for slide QC
The webinar will take 30 minutes, followed by Q&A. Unable to attend? The recording will be provided afterwards.
Zoom
Meet the Speakers!
- Dr. Mustafa Yousif (Speaker)
- Katherine Latimer (Session moderator)
About Dr. Mustafa Yousif
ACMIO Pathology, Michigan Medicine
Dr. Mustafa Yousif is Associate Chief Medical Information Officer (ACMIO) for Pathology at Michigan Medicine and a Clinical Assistant Professor at the University of Michigan. His research spans digital pathology, artificial intelligence and image analysis, particularly in breast and gynecologic pathology. His training includes a pathology residency at Wake Forest University and fellowships at the University of Pittsburgh Medical Center and the University of Michigan.
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.
Don't forget to register!
Join Dr. Mustafa Yousif of Michigan Medicine for a practical look at how the team implemented slide QC and where automated tools, including SlideRightQA, Barco’s software for automated quality review of whole slide images, fit within it. The session will explore the team’s approach to human review and where QC fits within Michigan Medicine’s digital pathology program.
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