Webinar Summary
- 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
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.
Presenters
Lorcan Sherry
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.
Aditya Pratapa
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.
Sponsor
Akoya Biosciences
OracleBio
Content Partners
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