Webinars

Check out our featured webinars about digital pathology, deep learning and our latest breakthroughs

Fluorescence analysis – using deep learning to stratify mitotic events in complex cellular data

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.

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Segmentation and colocalization in multiplexed images

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.

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How multispectral imaging enables analysis of macrophages in chronic liver disease

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.

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Phenotyping the tumor microenvironment

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.

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Cancer tissue analysis – a practical approach using deep learning

Cancer tissue analysis – a practical approach using deep learning

Jeni Caldara
Professional Services Specialist

Using the example of automated detection of proliferative hot-spots within tumor regions, Jeni Caldara will walk you through how set up and adapt a sequence of AI-based APPs that utilize deep learning.

Webinar series: Mastering your image analysis skills – presented live on Tuesday, June 23, 2020.

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Making sense out of multiplex

Making sense out of multiplex

David Mason
Technical Sales Specialist

David will introduce Visiopharm’s phenotyping module that enables easy-to-use, automated and unbiased classification of high-plex data for immuno-oncology research and any other multiplex fluorescent data.

Webinar series: Mastering your image analysis skills – presented live on Tuesday, May 12, 2020.

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