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Your Companion to Start and Continue Your Digital Pathology Journey
Feeling overwhelmed by AI, whole slide scanners, and the digital health transformation? You’re not alone. Digital Pathology 101 is your accessible guide through the rapidly evolving world of digital pathology. Whether you’re new to the field or want to deepen your understanding, this book—available as easily downloadable PDF—offers practical insights, foundational concepts, and a balanced view of challenges and benefits.
Written and narrated by Dr. Aleksandra Zuraw, veterinary pathologist and founder of Digital Pathology Place, this book is a passionate call to action to embrace digital pathology with clarity and confidence. From historical milestones and regulatory shifts to AI in tissue image analysis, it covers everything you need to feel equipped in a changing field.
What You’ll Learn
#1
Digital pathology basics, terminology, and historical context
#2
Core benefits and common challenges of going digital
#3
How AI and image analysis are transforming pathology
#4
Real-world applications in clinical, research, and pharma settings
#5
What whole slide imaging means for toxicologic pathology
Why Read This Book?
Clarity Without the Jargon
Understand essential terms like digitization, digitalization, and digital transformation.
Balanced Perspective
Explore both the benefits and the limitations of digital tools in pathology.
Voice of Experience
Hear directly from a pathologist who’s been at the intersection of diagnostics, research, and AI.
Robust Format for Independent Study
Download the full PDF and study it on your own time on any device.
By the End You’ll…
Know the key milestones and terminology behind digital pathology
Understand how digital tools are applied in clinical, research, and toxicology contexts
Feel more confident making decisions about AI and image analysis
Be equipped to join the digital transformation—on your terms
Chapters Include
1. Digital Pathology Milestones and Basic Digitalization Concepts:
From scanners to transformation: where it all began.
2. Challenges and Benefits of Digital Pathology:
A realistic overview of what works—and what still needs work.
3. Image Analysis, Artificial Intelligence, and Machine Learning:
Foundations of computer vision in pathology and how to use them wisely.
4. Digital Pathology Applications:
How digital tools support diagnostics, research, education, and drug development.
5. The Role of Whole Slide Imaging in Toxicologic Pathology:
Special focus on regulated studies and FDA validation requirements.