What You Need to Know about Modern Digital Pathology Services
Digital pathology continues to evolve and has rapidly become a foundational technology in nonclinical toxicology research. As more organizations explore whole‑slide imaging (WSI) and AI‑enabled tools, it’s natural to have questions about cost, image quality, workflow impact, and scientific reliability.
You’re not alone. These topics frequently arise when researchers evaluate the role of digital tools in their programs. At the same time, there are many common misconceptions about why labs should use digital pathology and how it fits into modern workflows.
Here are six of the most common myths we hear and what the actual facts are.
Myth #1
"Digital slide scanning is too expensive."
The Reality
Scanning is not an add‑on cost at Charles River. It is fully integrated into our standard workflow. We believe that an end‑to‑end digital workflow provides clients with the highest flexibility, efficiency, and scientific quality; therefore, it is considered a standard part of the study package.
What this means for you:
- No budget surprises
- Easier planning and forecasting
- Access to modern workflows without premium charges
Myth #2
"Scanning is an extra step that slows down the study."
The Reality
With automation and optimized histopathology workflows, scanning does not delay timelines and ultimately reduces turnaround time by eliminating the need to ship slides back and forth between pathologists and peer reviewers.
What this means for you:
- Improved efficiency as digital workflows expand
- Reduced turnaround time
- Smoother collaboration among global teams and pathologists
Myth #3
"Digital images can’t zoom beyond 40x without losing clarity."
The Reality
High‑quality 40x scans maintain clarity at higher digital magnifications.
What this means for you:
- Confidence that nothing is lost in translation
- Clear, detailed visualization for toxicologic evaluation
- A flexible, digital-first viewing experience
Myth #4
"Computer monitor variability compromises consistency."
The Reality
A validated hardware package is used for all digitally enabled pathologists, ensuring standardized equipment across reviewers.
What this means for you:
- GLP-ready review conditions
- Reduced variability
- Reliable, repeatable interpretation across studies and reviewers
Myth #5
"AI models aren’t trained on enough relevant data."
The Reality
AI models undergo rigorous testing and validation for dataset relevance and performance within a defined context of use prior to deployment, using FDA draft guidance on AI use and the EU AI Act as frameworks.
What this means for you:
- AI tools are vetted before they touch your study
- Only models with demonstrated relevance and performance are used
- Efficiency gains without compromising scientific oversight
Myth #6
"AI reads slides instead of pathologists."
The Reality
AI augments expert review by flagging abnormalities and supporting decision‑making, but interpretation always remains with the pathologist.
What this means for you:
- Faster prioritization of slides
- More time focused on critical findings
- Human expertise remains central to scientific decisions
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A recent article published in Regulatory Toxicology and Pharmacology by Elsevier, in collaboration with Charles River, reinforces that GLP‑validated whole‑slide imaging now supports primary evaluation at scale, underscoring the practical value of digital pathology.
A Clearer, More Confident Path Forward with Digital Pathology
Digital pathology is now a proven, validated, and increasingly essential component of modern nonclinical research. When supported by strong workflow design, high‑quality imaging, and thoughtfully integrated AI tools, digital pathology delivers greater consistency, faster collaboration, and a more efficient review process.
By separating outdated myths from evidence‑based realities, sponsors can move forward with confidence — knowing that digital pathology enhances scientific rigor rather than complicating it and enables more confident scientific decisions.
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