Spatialomics Interest Group Meeting (11/17)

The CODEX Solution: Comprehensive Solution for Spatially Resolved, Multiplexed Imaging

Speaker: Avik Mukherjee, Technical Application Scientist, Akoya Biosciences

The CODEX (CO-Detection by indEXing) technology allows researchers to identify 40+ biomarkers on their FFPE or Fresh Frozen tissue samples with uncompromising data quality for a fraction of the cost of similar datasets.  The CODEX allows researchers to perform whole tissue analysis while maintaining single cell resolution.  What data would you be missing with ROI analysis of your samples?  CODEX provides unrivaled ease and speed across the entire workflow from sample prep to imaging to data analysis. 

During this talk, we will cover the basics of the CODEX workflow including antibody conjugations with proprietary Akoya Barcodes, one step staining protocol and automated fluidics integration with a wide array of microscope systems.  We will then delve into data analysis of different samples using our CODEX MAV (Multiplex Analysis Viewer) software.  We will discuss different CODEX applications and how this solution can be used to predict patient survival (neighborhood analysis), integrate with your single cell transcriptomics analysis (STVeA and GLUER), identify specific cell types and cell to cell spatial interactions.

Date: Wednesday, November 17, 2021
Time: 10 - 11:00 a.m
View the recording

Join the Spatialomics Interest Group to receive updates, newsletters, and special funding opportunities. 

As ‘The Spatial Biology Company’, Akoya Biosciences’ mission is to bring context to the world of biology and human health through the power of spatial phenotyping. The company offers comprehensive single-cell imaging solutions that allow researchers to phenotype cells with spatial context and visualize how they organize and interact to influence disease progression and treatment response. Akoya offers two distinct solutions, the CODEX^® and Phenoptics™ platforms, to serve the diverse needs of researchers across discovery, translational and clinical research.