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

CODEX is now PhenoCycler
Phenoptics is now Phenolmager

Upcoming Webinars

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Akoya Spatial Day

We are pleased to invite you to our second annual Spatial Day. Spatial Day is about bringing together academic, clinical, and industry leaders to highlight how spatial phenotyping is uniquely suited to addressing key questions across discovery, translational, and clinical research.

Spatial phenotyping is a transformational new tool delivering an unprecedented understanding of disease biology. Mark your calendar and get ready to learn about the latest breakthroughs and innovations from Akoya as we trailblaze the future of spatial phenotyping.

PhenoCycler (Codex)
Exploring the Diverse Capabilities Enabled by PhenoCycler-Fusion: A Three-Part Webinar Series
Spatial phenotyping relies on whole-side imaging at single-cell resolution to visualize and quantitate biomarker expression and reveal how cells interact and organize across the tissue landscapes. Watch this 3-part webinar serios to explore how PhenoCycler-Fusion system enables rapid, multiomic spatial phenotyping to uncover novel biological insights.
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Investigating Tertiary Lymphoid Structures in Solid Tumors

In this webinar Dr. Silina will introduce what is already known about tertiary lymphoid structures (TLS), what the main open questions are, and what analysis approaches can be used to understand the biology of tumor-associated TLS.

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Understanding Epstein-Barr Virus-Associated Disease via Spatial Phenotyping: From Primary Infection to Malignancy

In this webinar Dr. Eanna Fennell will address how spatial phenotyping is uniquely suited to outline some of the putative causative relationships between EBV infections, immunosuppression, and cancer.

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Predicting Cancer Immunotherapy Response by Highly Multiplexed Tumor Imaging

In this webinar, Dr. med. Christian Schürch discuss how he is using spatial phenotyping technology to predict patient response to immunotherapy in various cancers. Learn about coordinated cellular neighborhoods and the important roles they play in antitumoral immunity. Discover how spatial distances between different cell types in the TME cells are associated with immunotherapy outcomes. And gain insights into which emerging spatial biology techniques enable implementation of simplified spatial scores to enable clinical decision making and improve prediction for cancer immunotherapy. 

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Spatial Phenotyping in the Era of Immunotherapy

Breakthrough spatial biology applications such as spatial phenotyping span the discovery-to-clinical continuum. To minimize time and maximize value along the continuum, it is imperative to make discoveries happen faster and at scale. Identifying patients likely to achieve benefit remains an unmet clinical need. The tumor microenvironment (TME) is now recognized as a driving factor dictating response to immunotherapies.

This Nature webcast will present comprehensive, cell-by-cell, spatial phenotyping of a head and neck tumor to delineate tissue signatures associated with response to therapy.

General
Predicting Cancer Immunotherapy Response by Highly Multiplexed Tumor Imaging

In this webinar, Dr. med. Christian Schürch discuss how he is using spatial phenotyping technology to predict patient response to immunotherapy in various cancers. Learn about coordinated cellular neighborhoods and the important roles they play in antitumoral immunity. Discover how spatial distances between different cell types in the TME cells are associated with immunotherapy outcomes. And gain insights into which emerging spatial biology techniques enable implementation of simplified spatial scores to enable clinical decision making and improve prediction for cancer immunotherapy. 

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Fusion Spatial Biology Event
Spatial Biology thought leaders and innovators discuss the latest developments in the field and share insights on how a fusion of technologies, disciplines, and knowledge is redefining spatial phenotyping and biomarker discovery.

Webinar Recordings

Spatial phenotyping relies on whole-side imaging at single-cell resolution to visualize and quantitate biomarker expression and reveal how cells interact and organize across the