Immune checkpoint inhibitors have proven an effective treatment for mucosal head and neck squamous cell cancer (HNSCC). With the success of anti-PD-1/PD-L1 immune checkpoint
We’ve rebranded some of our products, learn more ›
CODEX is now PhenoCycler
Phenoptics is now Phenolmager
Upcoming Webinars
PhenoImager (Phenoptics) / PhenoCode
PhenoImager Solutions: Bringing Speed and Scale to the Forefront of Multiplex Imaging and Spatial Phenotyping
Join Akoya Biosciences for a webinar on the PhenoImager Solution, which revolutionizes spatial phenotyping for translational and clinical research with a focus on speed, scale, accuracy, and reproducibility.
PhenoCycler (CODEX)
GenomeWeb - Identifying Cancer Therapy Targets and Resistance via High-Speed Multiomic Spatial Phenotyping
This webinar will discuss how single-cell multiomic spatial phenotyping is an invaluable tool to characterize the tumor microenvironment using unbiased whole-slide imaging of metastatic/recurrent HNSCC tumors among patients treated with pembrolizumab/nivolumab.
PhenoCycler (CODEX)
Spatial Multi-Omics in Targeted Cancer Immunotherapies
In this webinar, Dr. Arutha Kulasinghe, NHMRC Research Fellow and Clinical-oMx Group Leader at the Frazer Institute, University of Queensland, will discuss how single-cell multiomic spatial phenotyping is an invaluable tool to characterize the tumor microenvironment using unbiased whole-slide imaging of metastatic/recurrent HNSCC tumors among patients treated with pembrolizumab/nivolumab.
PhenoImager (Phenoptics)
Examining Multiplexed Immunochemistry in Translational Research and Systems Medicine
Based on examples from different disease areas, including cancer, chronic inflammatory bowel disease, and renal transplantation, the discussion will cover current perspectives for on spatial pattern recognition as well as caveats and technical limitations to be considered when multiplexing technologies are applied in the area of clinical biomarker research.
Spatial immunophenotyping and other applications of advanced multiplexed immunohistochemistry hold great potential to provide mechanistic insights and functionally relevant spatial information beyond quantitative evaluation of immune cell densities. This webinar’s focus is on applications of this emerging technology in the realm of clinical trials and retrospective analysis of clinical sample cohorts in the context of collaborative systems medicine projects. Based on examples from different disease areas, including cancer, chronic inflammatory bowel disease, and renal transplantation, the discussion will cover current perspectives for on spatial pattern recognition as well as caveats and technical limitations to be considered when multiplexing technologies are applied in the area of clinical biomarker research.
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.
General
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.
Featured Webinar
General
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.
Webinar Recordings
Join Akoya Biosciences for a webinar on the PhenoImager Solution, which revolutionizes spatial phenotyping for translational and clinical research with a focus on speed,
During this webinar, Dr. Cecilia Lindskog, research group leader and associate professor from Uppsala University, describes how scRNA-seq, spatial proteomics, and machine learning algorithms
Endometrial cancer is the most common gynecologic malignancy diagnosed in western countries, with most cases diagnosed as low-grade, early-stage disease.
Bladder cancer (BC) is the 10th most common cancer world-wide with an estimated 570,000+ people being diagnosed in 2020.
The emergence of new immunotherapies as the first line of treatment for cancer, necessitates the development of clinically useful biomarkers to select responders that
The emergence of new immunotherapies as the first line of treatment for cancer, necessitates the development of clinically useful biomarkers to select responders that
In this webinar, we discuss how an innovative multiomic solution can redefine the way we think about spatial phenotyping, the infinite possibilities these techniques
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
