100-plex Grant Program—PhenoCycler-Fusion

Deep Spatial Phenotyping for “Hallmarks of Cancer”

Application deadline:  June 30, 2022

Akoya Biosciences invites scientists involved in immuno-oncology (IO) research to apply for a deep spatial phenotyping “Hallmarks of Cancer” grant award.

The PhenoCycler™-Fusion System delivers unprecedented speed and depth enabling researchers to scale up unbiased discovery. Combined with the 100-plex “Hallmarks of Cancer” panel, this assay provides deep insights into the eight functional pathways that define the formation of malignant tumors.1

The grant recipient will receive:

  • Deep spatial phenotyping data to reveal the presence of 100 cancer biomarkers
  • Spatial insights for up to 3 FFPE tissue samples
  • An assay report on results of the PhenoCycler-Fusion workflow summarized by Akoya’s application team

Apply Now for the 100-plex Grant Program—
PhenoCycler-Fusion System

For the grant recipient, our team of scientists and bioinformaticians will help to generate a robust spatial phenotyping data set for up to 3 human samples that will help to elucidate a more comprehensive biological picture of the cancer tissue and model under investigation using the 100-plex Hallmarks of Cancer Panel, which detects 100 biomarkers for deep IO insights

Submissions to this grant program will close on June 30, 2022. To apply, complete the registration form with a 300-word abstract describing how obtaining a deep spatial perspective of your cancer tissue samples at single-cell resolution can support your research project and the IO insights you hope to glean. All the applications will be reviewed by Akoya’s scientific panel to select a grant winner. Selection criteria include, but are not limited to, scientific impact, novelty, feasibility, and the applicability of fast and scalable spatial phenotyping via PhenoCycler-Fusion to your research.

The grant program is subject to the 100-plex Grant Program—PhenoCycler-Fusion Terms and Conditions which contain eligibility restrictions. No purchase is necessary to enter; void where prohibited.

References
1. Hanahan D (2022) Hallmarks of Cancer: New Dimensions. Cancer Discov 2022, 12:31-46.

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Do you have FFPE tissue samples available now?
In 300 words or less, please describe how using the PhenoCycler-Fusion System with the 100-plex “Hallmarks of Cancer” biomarker panel to obtain deep spatial phenotypic data of your cancer tissue samples at single-cell resolution can support your oncology research
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