Multiplexed Immunofluorescence

mIF

Multiplexed Immunofluorescence: a complete view of tumor behavior

Utilizing deep learning and advanced cell classification algorithms, multiplexed immunofluorescence spatial analysis uncovers the complex interplay between multitudes of immuno-oncology biomarkers and provides complete analysis of the tumor microenvironment. Multiplexed immunofluorescence has emerged as an effective and proficient approach to simultaneously identify specific proteins and immune cell types, to determine the spatial distribution and activation state of immune cells, as well as the expression of immune modulators, all at the same time. This method is highly beneficial for exploring immune evasion mechanisms and finding potential biomarkers that allow researchers to assess the mechanism of action and predict and monitor drug response.

NeoGenomics’ Pharma Services offer two multiplex immunofluorescence platforms: MultiOmyx and Vectra® Polaris

MultiOmyx™

MultiOmyx is a proprietary, high-order multiplexing methodology that enables visualization and characterization of up to 60 proteins in a single FFPE tissue section.

High order ≥ 7 plex
Comprehensive analysis of tumor biology
Deep & precise immuno-profiling

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Vectra® Polaris™

Vectra® Polaris is an automated system that allows simultaneous detection of 2-6 different markers from a single FFPE tissue slide which would provide a streamlined workflow for implementing refined low-order multiplex panel sets.

Low order 2-6 plex
High-throughput & faster TAT
Assay transfer & validation
 

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Latest Publications:

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Co-detection of a tumor-infiltrating lymphocyte immunofluorescence (IF) panel and cytokine RNA in-situ hybridization (ISH) markers in non-small cell lung cancer (NSCLC) tumor microenvironment using combined MultiOmyx and RNAScope platforms

Presented at AACR 2021
Presented
Apr 15, 2021
Type
Poster

Comprehensive Analysis of immuno oncology markers in the TME of solid tumor samples using GeoMx™ Digital Spatial Profiler (DSP) and MultiOmyx™ Hyperplexed Immunofluorescence (IF).

Presented at AACR 2021
Presented
Apr 15, 2021
Type
Poster

Improving MultiOmyxTM Analytics cell classification workflow efficiency by Invariant Information Clustering on historical data

Presented at AACR 2021
Presented
Apr 15, 2021
Type
Poster

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