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Scaling up your digital pathology operations with Mark Zarella, Mayo Clinic

Scaling up your digital pathology operations with Mark Zarella, Mayo Clinic

FromDigital Pathology Podcast


Scaling up your digital pathology operations with Mark Zarella, Mayo Clinic

FromDigital Pathology Podcast

ratings:
Length:
30 minutes
Released:
Nov 8, 2022
Format:
Podcast episode

Description

This episode is brought to you by Hamamatsu. Thank you Hamamatsu :)So...you are already doing digital pathology in your institution but would like to scale it, take it to the next level? How do you do it, where do you start?In this episode my guest, Mark Zarella, PhD (previously Johns Hopkins University, currently Mayo Clinic) explains how he did exactly that at Johns Hopkins University. He talks about: What is important when evaluating whole slide scanners and how to choose the best whole slide scanner for youHow he organized and managed the whole slide images at Johns Hopkins UniversityHow he scaled the operations from ca. 10K slides to ca. 750K slides a yearHow he ensured interoperability of systemsHow he approached automated slide quality control AND MUCH MUCH MORE!If you are serious about taking your digital pathology operations to the next level, THIS IS THE EPISODE TO LISTEN TO!THIS EPISODE'S RESOURCESMark's Paper: "High-throughput whole-slide scanning to enable large-scale data repository building" Blog post: HOW TO CHOOSE A WHOLE SLIDE IMAGING SCANNER FOR DIGITAL PATHOLOGY – THE ULTIMATE GUIDE Podcast episode: HOW TO CHOOSE A WHOLE SLIDE IMAGING SCANNER FOR DIGITAL PATHOLOGY W/ DOUG STAPLETON, HAMAMATSU Get your "Digital Pathology Beginners Guide" E-book for free! Sign up for the waiting list here.
Released:
Nov 8, 2022
Format:
Podcast episode

Titles in the series (89)

Aleksandra Zuraw from Digital Pathology Place discusses digital pathology from the basic concepts to the newest developments, including image analysis and artificial intelligence. She reviews scientific literature and together with her guests discusses the current industry and research digital pathology trends.