Congress

Spatial Biology for Immuno-Oncology Summit

San Diego

Learn more

17-19 January 2023

San Diego

USA

Meet Lunaphore

Join us in San Diego for the Spatial Biology for Immuno-Oncology Conference.
Meet our scientists at our booth to discover the only spatial biology solution which does not require any upstream conjugation or barcoding.

Our solutions allow you to minimize validation challenges and move fast from biomarker discovery to translational research.

Want to know more about our spatial biology solutions? Send us a message and secure a meeting with the team.

The inaugural Spatial Biology for Immuno-Oncology Summit has been created at a time when Spatial Biology has the potential to completely transform our molecular understanding of how tissues function – being hailed as the “next life science revolution”. To make this exciting vision a reality, practical, real-world implementation strategies need to be defined.

Next January over 100 immuno-oncology leaders will be uniting in San Diego to work towards overcoming challenges in translating spatial technologies to the clinic. Drilling into specific challenges around bioinformatics, reproducibility, data analysis, and technology implementation

The 2023 Spatial Biology for Immuno-Oncology Summit will offer practical, implementable strategies that cut through the marketing hype to offer to understand what can be achieved, and the strategies required to do it, you cannot afford to miss this crucial date in the precision medicine industry calendar in 2022.

19 January 2023

Presentation

19 January 2023

10:15am PST

  • Discover how to overcome the complexity and technical barriers of spatial biology with Lunaphore’s high-throughput hyperplex solutions. 
  • Learn how to detect 40 biomarkers in a fully automated approach (with COMET™) to characterize the tumor microenvironment (TME) at a single-cell level. 
  • Discover the power of combining hyperplex images with machine learning clustering analysis for obtaining a single-cell atlas of tissue specimens.