From Microscope to Mouse Click: How AI-Assisted Digital Morphology Is Transforming Hematopathology

On a Saturday morning, a hematopathologist parked his car at the supermarket, stepped aside to a quiet spot, and confirmed a diagnosis of acute promyelocytic leukemia from his phone - in under a minute. Without the digital workflow, he would have driven to the lab and spent more than an hour at the microscope before the patient could start treatment.

That moment, shared by Dr. Holger Hauspurg of Hematopathology Hamburg at a recent ISLH 2026 symposium, captures what's changing in hematology diagnostics. His lab - a private practice specializing in leukemia and lymphoma diagnostics, handling roughly 40,000 cases per year - has integrated Scopio's Full-Field digital imaging platform* into daily operations. Here's what they learned, the cases that revealed both the power and the limits of AI-assisted morphology, and what's coming next.

The Challenge: A Perfect Storm of Pressure

Modern hematopathology labs are being squeezed from every direction:

• Growing workload - Hematopathology Hamburg sees roughly 5% more cases each year, with rising complexity requiring multi-step diagnostic algorithms.
• Staffing shortages - An aging workforce means fewer specialists at the bench. In Germany alone, 25,000 lab technicians are expected to retire within five years. In the UK, the British Society for Haematology projects that one in eight consultants will retire in the next three years.
• Location dependency - Highly trained morphologists have historically been tied to on-site microscopes, limiting flexibility and slowing weekend and after-hours coverage.
• Manual processes - A workflow analysis at Hamburg revealed excessive manual steps, from paper record matching to physical sample transport between departments.

The Solution: A Digital-First Workflow

By integrating Scopio's Full-Field imaging platform, Hematopathology Hamburg streamlined morphology assessment into three clear steps:

• Scan the blood or bone marrow aspirate smear at 100x resolution
• Technician review - verify the AI pre-classification and reclassify cells as needed
• Pathologist sign-off - results transfer automatically via HL7 interface, accessible remotely in one click*

The principle Dr. Hauspurg returned to throughout his talk: AI provides a strong starting point, but the human in the loop remains essential.

Key Takeaways from Implementation

• AI morphology provides an excellent starting point.
• Whole slide review is critical. Never rely solely on AI-selected differential fields, especially for bone marrow aspirate.
• The platform enabled true location independence, allowing pathologists to sign off cases remotely without compromising diagnostic quality.
• No changes to existing staining protocols were needed; the device's color profile was calibrated to the lab's stains instead.
• Six adjustable image parameters (brightness, contrast, and others) let reviewers optimize the digital view to their preference.

What's Next: The CBM Analyzer*

Scopio's Complete Blood Morphology (CBM) Analyzer is designed to take automation a step further for routine peripheral blood smear cases. WhileFull-Field decision support system keeps the expert in control of every case, CBM is built to autonomously release routine results and flag only the cases that genuinely need expert review.

A recent independent workflow study conducted by Nexus at TriCore Laboratories - a US reference lab processing approximately 104 peripheral blood smears daily across the Sysmex DI-60 and manual microscopy - measured CBM's real-world operational impact:

• 85.8% of cases released autonomously (193 of 225 slides), with only 14.22% flagged for expert review
• 85.8% reduction in hands-on review time - from 9 hours, 19 minutes to 1 hour, 19 minutes across the matched 225-slide cohort
• ~2.5 minutes average review time for flagged cases using Scopio's decision support system
• Consistent throughput of approximately 21 slides per hour per system across varying batch sizes and loading patterns

To learn more about the CBM Analyzer, click here.