The Vectra® 3 automated quantitative pathology imaging system accurately detects and measures weakly expressed and overlapping biomarkers within a single H&E, IHC or IF intact FFPE tissue section or TMA to accelerate your cancer immunology research.
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The Vectra 3 automated quantitative pathology imaging system, together with the inForm® software, provides multispectral and automated multi-slide imaging of up to 6 slides to detect and measure weakly expressed and overlapping biomarkers in H&E, IHC or IF intact FFPE tissue sections or TMAs within a familiar digital pathology workflow.
Tissue sections or TMAs can be labeled with immunofluorescent (IF) or immunohistochemical (IHC) stains such as Opal™, or with conventional stains such as H&E and trichrome. When using IF or IHC stains, multiple proteins can be measured on a per tissue, per cell, or per cell compartment (e.g. nuclear, cytoplasmic) basis - even when signals are spectrally similar, are located in the same cellular compartment or are obscured by autofluorescence.
Vectra 3 can also be used with the Phenochart™ whole slide contextual viewer with annotation capability into the digital workflow, where pathologists and technicians can navigate around slides and identify areas of interest for high-resolution multispectral acquisition. It accurately measures protein and biomarker expression and morphometric characteristics in intact tissue sections for translational studies.
Detecting Phenotypical Subgroups in Breast Cancer using Multiplexed Protein Expression Analysis in Intact Tissue Sections
This guide provides information to configure your Vectra® 3 hardware and software to accommodate Chroma’s AQUA filter cube and the DISCOVERY fluorophores for imaging and analysis of your DISCOVERY 5-Plex immunofluorescent samples
Learn how to fully automate a staining assay for probing the tumor microenvironment using fluorescent multiplex immunohistochemistry from this poster
Learn how components of the tumor microenvironment and their interplay are essential in targeting tumor growth and metastasis in this poster.