Pathology 101 For Tissue Image Analysis
$597.00
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Pathology 101 For Tissue Image Analysis is a beginner-friendly, mindset-shifting course designed to help you build a strong foundation in histopathology without fear or overwhelm. Led by board-certified pathologist Dr. Aleksandra Zuraw, this course guides you through tissue workflows, staining techniques, tumor identification, and essential terminology for collaborating confidently in modern pathology environments. You’ll learn to interpret stained tissue samples, recognize abnormalities, and gain the mindset needed to thrive in digital pathology teams.
✔ How to interpret stained tissue samples using digital analysis tools
✔ Structured workflow: from biopsy to glass slide preparation
✔ Core principles of H&E staining, special stains, and immunohistochemistry
✔ Key terminology and effective communication techniques in pathology
✔ How to recognize tumor tissue vs. normal tissue
✔ How to detect and evaluate necrosis
✔ Strategies to overcome fear and imposter syndrome in pathology learning
✔ Practical introduction to computer vision concepts for tissue analysis
Students, graduates entering pathology, laboratory technicians, researchers, digital pathology collaborators, and anyone eager to demystify histopathology and ask informed questions.
Confidence Over Fear: Structured guidance helps you move beyond intimidation and start enjoying tissue analysis
Essential Skills: Learn the fundamentals of pathology workflows, staining, and terminology
Real-World Relevance: Directly applicable skills for research, lab work, and digital pathology projects
Flexible Learning: Study at your pace and build a strong, lasting foundation in tissue analysis
✔ Understand pathology workflows from tissue collection to slide preparation
✔ Confidently identify basic tissue patterns, stains, and pathological changes
✔ Communicate more effectively with pathologists and lab teams
✔ Approach new pathology challenges with clarity, resilience, and structure
How to Lose Fear and Have Fun with Pathology
Pathology Workflow: Journey of a Tissue Sample
Tissue Staining Essentials: Hematoxylin and Eosin, Special Stains, Immunohistochemistry
Tumor Identification: Distinguishing Normal vs. Abnormal Tissue
Necrosis Detection: How to Recognize Tissue Death
Computer Vision in Pathology: Translating Visual Data
Pathology Terminology for Effective Communication
Special Bonus: 10 Best Resources for Designing Tissue Image Analysis Algorithms
Course Completion Certificate Included
– Aleksandra Zuraw, DVM, Ph.D., Dipl. ACVP
© 2025 Digital Pathology Place - Aleksandra Zuraw, DMV, Ph.D., Dipl., ACVP
PO. Box 71, Fairfield, PA 17320, USA