Send us a text Have you ever thought, “Digital pathology sounds amazing, but without a scanner, what’s the point of learning it now?” If so, this episode will change how you see your role in the future of pathology. In this talk, I challenge one of the most persistent myths in our field: the belief that you need expensive hardware before you can begin your digital pathology journey. Through personal experience and the remarkable story of another pathologist who started with even less, I show why knowledge—not infrastructure—is what truly opens doors. Highlights and Key Themes 0:00 – The Limiting Belief I open with the core misconception I hear from pathologists worldwide: “I need a scanner before I can start.” I explain why hesitation, not lack of equipment, is the real barrier—and why waiting for perfect conditions keeps many people stuck. 2:24 – My Early Digital Pathology Story I describe my residency in 2013, when a single scanner was “off limits” to trainees. Faced with a research project requiring consistent cell counting, I improvised using a microscope camera and Microsoft Paint. It wasn’t sophisticated, but it was digital, consistent, and reproducible. This experience taught me a foundational lesson: if you can measure something, measure it; don’t rely on visual estimation. 7:01 – How This Led to My First Digital Pathology Job That basic Paint-and-dots project became my gateway to working at Definiens (now part of AstraZeneca). I wasn’t hired for computational expertise; I was hired because I understood tissue, biology, and the value of quantifying what we see. Working alongside image analysis scientists showed me the exponential power of combining tissue knowledge with computational tools. 10:03 – Dr. Talat Zehra’s Story I share the inspiring journey of Dr. Talat Zehra from Karachi, Pakistan, who began with no access to scanners and only a microscope camera. During COVID shutdowns, she taught herself the foundations of digital pathology, joined global organizations, conducted a nationwide survey, and contacted AI vendors for access to platforms. After many rejections, one vendor offered a trial account. In just six weeks, she completed three AI projects using microscope camera images—each one published in a peer-reviewed journal. Her story highlights a universal truth: starting with curiosity and persistence matters far more than having perfect tools. 14:14 – Two Paths After a Conference I explain the difference between the “forgetting loop” and the “learning path.” Many attendees leave inspired but slip back into routine. Others commit to one consistent learning habit—journal clubs, vendor webinars, DigiPath Digest sessions—and return a year later with clarity, confidence, and momentum. These individuals become the people others seek out for guidance in digital pathology. 18:04 – Where to Begin You don’t need a scanner or an institutional budget to start. What you need is structured knowledge. I introduce my book, Digital Pathology One on One, and encourage listeners to choose one learning habit to build on after the episode. The only wrong choice is choosing nothing. 19:06 – Final Message Knowledge drives adoption, not infrastructure. Scanners, AI tools, and computational platforms already exist. What’s missing are people who understand how to interpret tissue digitally, collaborate with computational teams, and bridge biology with technology. You have Support the show Get the "Digital Pathology 101" FREE E-book and join us!
