Webinars
Check out our featured webinars about digital pathology, deep learning and our latest breakthroughs
Investigating tumor blood vessels via digital pathology: spotlighting on breast cancer and glioblastoma
Dr. Giorgio Seano
Head of the Tumor Microenvironment Lab, Institut Curie, Orsay-Paris (France)
Dr. Seano will present an overview of his works on blood vessel histological investigation. The study of the abnormalities of tumor blood vessels elucidated tumor features and is still shedding light on its pathology. Tumor vessels may be characterized by abnormal morphology, disrupted vascular basement membrane and reduced pericyte coverage. This causes dysfunction in perfusion and consequently leads to an hypoxic and immunosuppressive environment, typical of tumors. Breast cancer and glioblastoma are two of the most important tumors in the field of vascular microenvironment since we learnt that we can therapeutically modulate and temporally normalize vascular function. Dr. Seano will show digital pathology results published during his period at Harvard Medical School and unpublished data from his own new lab.
Presented at the Pathology Visions 2020 virtual meeting during Visiopharm’s Industry Workshop on Monday, October 26, 2020.
Fluorescence analysis – using deep learning to stratify mitotic events in complex cellular data
Joseph R. Daniele, PhD
Institute Research Scientist
Are you getting the maximum out of your sample images?
In this webinar, Joseph Daniele Ph.D. will demonstrate the power of deep learning to investigate and quantify variability within a cell.
Determining mitotic activity is a common component of many tumor grading systems but relies on tedious identification and enumeration of mitotic figures within selected fields of view. Using Visiopharm’s deep learning module, Joe and his group have trained a classifier to automatically identify and count a range of mitotic figure morphologies in an entire tissue sample.
Extraction of histomorphological data using artificial intelligence
Ralf Huss, MD, PhD
Professor of Pathology, University Hospital in Augsburg (Germany)
Data extraction data from virtual slides is the foundation for the identification of novel patterns that are difficult or impossible to quantify by the human eye. Along with innovative technologies like high-plex immunofluorescence, artificial intelligence allows the caption of deeper insights, contextual information and describe spatial relationships.
Presented at the Pathology Visions 2020 virtual meeting during Visiopharm’s Industry Workshop on Monday, October 26, 2020.
Segmentation and colocalization in multiplexed images
Michael Persch
Professional Services Specialist
Michael Persch will discuss the most robust method for segmenting cells and identifying expression in fluorescent imaging. Explore how Michael Persch designs deep learning strategies to streamline this process and easily denote expression and colocalization.
Webinar series: Mastering your image analysis skills – presented live on Tuesday, June 30, 2020.
How multispectral imaging enables analysis of macrophages in chronic liver disease
Heather Stevenson-Lerner, MD, Ph.D., FCAP
Asst. Professor, Dept. of Pathology Liver & Transplantation Pathologist, The University of Texas Medical Branch
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.
Phenotyping the tumor microenvironment
David Mason, Ph.D.
Technical Sales Specialist
How much information can you extract from a multiplex image? What then?
Visiopharm’s powerful Phenotyping module is an easy-to-use tool for analyzing multiplex images.
Join our Technical Specialist David Mason for a dive into multiplex analysis of the tumor microenvironment using data created with the Ultivue InSituPlex® technology. Using this data, we will look at how you can use image data to interrogate the tumor immune landscape.
Webinar series: Mastering your image analysis skills – presented live on Tuesday, July 7, 2020.