MultiOmyx's Advanced Data Analysis

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Utilize MultiOmyx for complex data analyses

MultiOmyx advanced analytics enable unambiguous quantitative immune cell classification across different tissue types, accounting for different biomarker staining patterns in different population of cells. Additionally, MultiOmyx algorithms are able to differentiate between cell populations in the tumor, stroma, and tumor margin. This enables computation of the distance of every cell from any regions in the tissue to distances between multiple populations of cell. MultiOmyx advanced analytics allows for complex data analyses which were simply not feasible through traditional qualitative analysis.

Quantitative immune cell classification

High T-cells expressing PD-L1
Advanced data Analysis-Classification

MultiOmyx cell classification algorithms take into account area and intensity of biomarker staining in the expected sub-cellular localization to accurately classify population of immune cells.

Assess relationship of immune cells to tumors cells

High T-cells expressing PD-L1

Low T-cells without PD-L1 expression

 High T-Cells Probability Density

Low T-Cells Probability Density

Color blends images of CD4, CD8, CD68, PD-L1, and pan-CK shown in two representative samples. Top sample shows high T-cells population in close proximity to CD68+ macrophages expressing PD-L1. PD-L1+CD68+ cells are nearest to population of tumor / pan-CK+ cells as visualized in the color blends and plots on the right. Bottom sample shows low T-cells population with no PD-L1 expression.