We’ve rebranded some of our products, learn more ›

CODEX® is now PhenoCycler,
Phenoptics™ is now Phenolmager.

PhenoImager Data Analysis Using QuPath and Python

Webinar | June 22, 2023 | 8:00 AM PDT | 11:00 AM EDT

In this webinar, Akoya Biosciences’ application scientists Aditya and Ning will present a framework for analyzing multiplex immunofluorescence images generated on the PhenoImager platform. Learn about key steps from segmentation to phenotyping and downstream analysis. Example datasets focused on non-small cell lung cancer (NSCLC) will be used to provide insights into the predictive spatial signatures that could guide immunotherapy treatment. In addition, they demonstrate how to use open-source tools such as QuPath and Python to compute spatial signatures like ‘SpatialScore’, adapted from Garry Nolan’s lab.

Key learning objectives

  • Gain a comprehensive understanding of the PhenoImager data analysis workflow
  • Explore open-source data analysis pipeline using QuPath and Python
  • Enhance your ability to interpret complex spatial phenotypes and extract valuable information such as SpatialScore




Ning Ma

Dr. Ning Ma

Senior Application Scientist
Akoya Biosciences
Aditya Pratapa

Dr. Aditya Pratapa

Application Scientist
Akoya Biosciences