The Society of Toxicologic Pathology (STP) Internet Committee-Web-based Education Subcommittee (WBEC) is pleased to offer these quarterly Short Education Webinar Series as an educational tool to foster collaboration among the toxicologic pathology community. The sixth of the series will focus on Tissue-based Image Analysis which features four presentations from a half-day Continuing Education Course at the STP Annual Symposium held in Montréal, Québec, Canada (June 2017).
Digital pathology is in the process of revolutionizing the way pathologists conduct their art. Quantitative image analysis is a rapidly evolving area of digital pathology. The quantification of histological features on photomicrographs is not a new concept but it used to be cumbersome, resource intensive and limited to specialists and specialized laboratories. However, recent technological advances like highly efficient automated whole slide digitizer (scanner) systems, innovative image analysis platforms and the emergence of pathologist-friendly image annotation and analysis systems means that quantitation of features on histological digital images will become more and more prominent in our daily professional life. There is a plethora of potential use for quantitative image analysis in pathology including confirmation of equivocal findings noted by a pathologist, increasing the sensitivity of features detection, quantification of signal intensity, improving efficiency, etc. There is no denying that quantitative image analysis is part of the future of pathology but there are also numerous potential pitfalls when trying to estimate volumetric features from a few 2D sections. This continuing education session on quantitative image analysis will offer a broad overview of the field, a hands-on toxicologic pathologist experience with image analysis, a talk on how to apply basic stereology principle in order to avoid biases in image analysis and finally a reflection on the future of image analysis in the toxicologic pathology field.
Robert Dunstan, DVM, PhD, DACVP, AbbVie
Vanessa Schumacher, DVM, MS, DACVP, DABT, Roche Innovation Center Basel
Chandra Saravanan, DVM, MS, PhD, DACVP, Novartis
Danielle Brown, DVM, MS, DACVP, DABT, Charles River