In this webinar, Aditya Pratapa and Lorcan Sherry present a new workflow for analyzing multiplex immunoflurescence images.

Spatial Signatures are a new class of highly predictive biomarkers that measure the interactions and cellular densities of tumor and immune cells that compose the tumor microenvironment. Based on multiplex immunofluorescence, spatial signatures provide a deeper understanding of complex interactions between tumors and the immune system, enabling improved patient stratification for immunotherapies. A significant hurdle to date has been in developing a data analysis workflow that is straightforward and user-friendly to transform the data rich images into meaningful quantitative spatial signatures.

In this webinar, Aditya and Lorcan review the key features of the new PhenoImager HT 2.0 data analysis workflow. This workflow introduces a simplified framework from scanning to analyzing spectrally unmixed multiplex immunofluorescence images generated on the PhenoImager HT platform. The ready-to-analyze data can be directly imported into image analysis software such as Visiopharm. This presentation covers key aspects of data analysis elements such as image QC, segmentation, phenotyping, and verification – all essential for creating outputs that support the development of a spatial signature.

Key Topics Include:

  • Understand Akoya’s new HT 2.0 data analysis workflow
  • The challenges in multiplex immunofluorescence analysis and the use of AI and cell lineage segmentation considerations
  • Explore OracleBio’s image analysis workflow incorporating Visiopharm
  • Evaluation of analysis data to facilitate spatial profiling and interpretation

Resources

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Presenters

Chief Scientific Officer
OracleBio

Lorcan is an image analysis expert who previously spent 10 years in the pharmaceutical industry as a group leader (Organon, Schering-Plough, Merck & Co.). He led a group responsible for performing histology, immunohistochemistry / image analysis and he has considerable experience in developing translational biomarker strategies for projects across various therapeutic areas. As co-founder and Chief Scientific Officer at OracleBio, Lorcan has helped establish the company as a market leader within its field, supporting the digital pathology programmes of major Pharma and Biotech companies around the globe. Day to day, Lorcan oversees a team of image analysis scientists and pathologists responsible for the execution of Client image analysis R&D studies, while further driving the adoption of innovative techniques and processes to improve the quality and efficiency of our services.

Senior Data Scientist
Akoya Biosciences

Aditya Pratapa received his doctorate from Virginia Tech in Computer Science where he worked on developing algorithmic frameworks for inferring gene regulatory networks from single-cell data. Following his post-doctoral studies at the Broad Institute, Aditya joined the Applications team at Akoya Biosciences where he works on developing image analysis workflows using open-source tools for a variety of projects spanning the entire Akoya product portfolio.

Production Partner

Akoya Biosciences

As The Spatial Biology Company®, Akoya Biosciences’ mission is to bring context to the world of biology and human health through the power of spatial phenotyping. The company offers comprehensive single-cell imaging solutions that allow researchers to phenotype cells with spatial context and visualize how they organize and interact to influence disease progression and response to therapy. Akoya offers a full continuum of spatial phenotyping solutions to serve the diverse needs of researchers across discovery, translational and clinical research: PhenoCode™ Panels and PhenoCycler®, PhenoImager® Fusion, and PhenoImager HT Instruments.

OracleBio

OracleBio is a global leader in quantitative digital pathology, providing image analysis services to Pharma and Biotech clients worldwide. Leveraging multiple software platforms, the company delivers robust data packages within a quality management framework to support clinical trials and translational research.

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