AI-powered multiplex immunofluorescence data and CellCarta expertise for Akoya® & Ultivue®
imageDx PRISM from Reveal Biosciences applies advanced AI models to generate cell-by-cell data, spatial biomarker characterization, and predictive patient outcome data from multiplex immunofluroescence images.
Quantify: Quantitative cell-by-cell data
Explore: Microenvironment & spatial data analysis
Predict: AI pattern discovery & predictive models
Quantitative Cell-by-Cell Data
Quantitative cell-by-cell data reported across the entire image including percent positivity & colocalization.
Microenvironment & Spatial Data Analysis
Multi-cell microenvironment & spatial data analysis includes cluster analysis, proximity data for predefined markers, and distance to tumor-stroma interface.
AI Pattern Discovery & Predictive Models
Custom AI models developed using graph neural networks to interrogate pattern formation and/or predict patient outcomes.
CellCarta Multiplex Panels with imageDx PRISM Analysis
Akoya & Ultivue Multiplex immunofluorescence is performed at the CellCarta specialized CAP/CLIA laboratory at Lake Forest, CA (formerly Mosaic Laboratories)
Akoya Opal® Chemistry
Immune Profile Panel – CD8+CD68+CD3+ PanCK+Open Position
Immuno-Contexture Panel – CD8+CD68+PD-L1+FoxP3+ PanCK+Open Position
Exhaustion Panel – CD8+CD4+CD20+FoxP3+ PD-1+Open Position
Activated TIL Status Panel – CD8+CD3+Ki67+Grz B+ PanCK+Open Position
M1/M2 Polarisation Panel – CD8+CD68+PD-L1+ PD-1+CD168+Open Position
Custom Assay Development Available