How Multispectral Imaging Enables Analysis of Multiple Markers in Chronic Liver Disease

Life Sciences, Clinical Trials,
  • Tuesday, July 14, 2020 | 11am EDT (NA) / 4pm BST (UK) / 5pm CEST (EU-Central)
  • 60 min

Intrahepatic macrophages influence the composition of the microenvironment, host immune response to liver injury and development of fibrosis. In this webinar, Heather Stevenson will present her group’s findings from an analysis of five different antibodies commonly observed on macrophage populations (CD68, MAC387, CD163, CD14 and CD16). Using a multiplex protocol, the group stained biopsies collected from representative patients with chronic liver diseases, including chronic hepatitis C, non-alcoholic steatohepatitis and autoimmune hepatitis. Spectral imaging microscopy and deep-learning-based analysis was applied and found to be a powerful tool that enables in situ analysis of macrophages and other cells in human liver biopsies and may lead to more personalized therapeutic approaches in the future.

Speaker

Heather Stevenson-Lerner, MD, PhD, FCAP, Associate Professor, Dept. of Pathology, Director of Transplantation Pathology, I. Emil Carroll, MD Professorship in Pathology, The University of Texas Medical Branch

Dr. Heather Stevenson-Lerner’s clinical focus includes liver, transplantation and gastrointestinal pathology. Dr. Stevenson-Lerner completed a fellowship in the Transplant Pathology Division at the University of Pittsburgh Medical Center. Dr. Stevenson-Lerner leads UTMB’s Liver Diseases Diagnostic Management Team, which is popular with hepatologists, transplant coordinators, fellows and residents. Dr. Stevenson-Lerner is actively involved in several grant-funded clinical research projects including studies in patients with chronic hepatitis C (HCV), non-alcoholic steatohepatitis (NASH) and hepatocellular carcinoma (HCC). She received a University of Texas Rising STARs award, is on the executive committee for medical school admissions and received the Best Anatomic Pathology Faculty Award from UTMB’s pathology residents and fellows for the 2016 – 2017 academic year.

Message Presenter

Who Should Attend?

Job Functions:

  • Pathologist
  • Research Scientist
  • Imaging Specialist
  • Lab Manager
  • Project Leader
  • Biomarker Expert
  • Group Leader at Universities
  • Group Leader at Biopharma (early clinical development)

Topics of interest:

  • Multiplex Tissue Staining
  • Spectral Imaging
  • Imaging Analyses
  • Spatial/Neighboring Analysis
  • Artificial Intelligence
  • Deep Learning
  • Immunology
  • Biomarker Analysis
  • The Tissue Microenvironment
  • Monocytes/Macrophages
  • Chronic Liver Disease

What You Will Learn

In this webinar, attendees will learn:

  • How multispectral imaging and deep-learning-based image analysis facilitates comparison and visualization of macrophage populations
  • About spectral unmixing of fluorophore signals, subtraction of auto-fluorescence and preservation of hepatic architecture
  • How cell phenotyping, tissue segmentation and t-distributed stochastic neighbor embedding plots can facilitate characterization of numerous cell populations
  • How to optimize multiplex staining and spectral imaging microscopy
  • Discuss types of imaging analysis available for multiplex stained tissues

Xtalks Partner

Visiopharm®

Visiopharm® is a world leader in AI-driven digital precision pathology software. Leading biopharmaceutical companies, contract research organizations (CRO), academic medical centers, and diagnostic pathology labs all over the world use Visiopharm’s technology for tissue-based research and diagnostics. Its solutions use the latest advancements in artificial intelligence and deep learning to make the most comprehensive, highly configurable, and accurate tissue mining tools available on the market today. Visiopharm was founded in 2001 and is privately owned. The company operates internationally with over 900 licenses in more than 38 countries. Company headquarters are in Denmark’s Medicon Valley, with further offices in London, England, Munich, Germany, and Westminster, Colorado.

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