Spatial Biology Simplified
Join us at EACR 2023

June 12 – 15 2023
Torino, Italy
Booth #5

See how Spatial Biology is Transforming our Understanding of Cancer

Join us at Booth #5 to learn more about the new validated, ready-to-use panels for the PhenoCycler-Fusion and the PhenoImager HT, that unlock the full potential of spatial biology with a focus on simplicity.

Don’t Miss Our Industry Symposium​​

Spatial Biology – Uncovering New Insights in Tumour Progression and Treatment Response
Join our industry symposium to hear how spatial phenotyping and neighborhood analysis of tumor samples can provide breakthrough insights into treatment response and tumor biology. Our presenters will also introduce a novel family of PhenoCode™ Panels that simplify the workflow to study hundreds of biomarker targets, including protein and RNA, across multiple sample types and describe how the discoveries from ultrahigh-plex spatial biology can be effectively moved over into translational and clinical research.

Date:  Wednesday 14th June 2023
Time: 1:30pm – 2:15pm
Location: Room Azurra
Speakers: Ani Solanki, Ph.D. and Nadya Nikulina

ani

Ani Solanki, Ph.D.

Senior Manager,
Global Market Development
Nadya Nikulina v3

Nadya Nikulina

Manager, Applications

REGISTER NOW

See Akoya’s Technology in Action at these Poster Presentations

11am – 6pm
Poster 0468: Quantitative Digital Image Analysis of Ultra-High Plex Immunofluorescence on Tissue Microarrays of Lung Cancer
Poster 0490: Comparative Spatial Analyses of the Glioma Tumor Landscape in IDH-1wt and IDH-1R132H Patient Tissues
Poster 0544: Multiomic Spatial Phenotyping of Head and Neck Cancers Reveals Distinct Immune and Cytokine Signatures in the Tumor Immune Microenvironment
Poster 0482: Spatial Metabolic Phenotyping: Looking Beyond the Tumor-Immune Microenvironment of Bladder Cancer
Poster 0486: Identifying Spatial Signatures of Response to Immunotherapy by Deep Spatial Phenotyping in Non–Small Cell Lung Cancer
11am – 6pm
Poster 0481: Development of a High-Plex Antibody Panel for Spatial Phenotyping of FFPE Murine Tissues
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