With Olink Explore HT, we’ve reimagined our packaging, resulting in a 10-fold reduction in boxes and a 6-fold decrease in components. The new NPX Explore HT software suite simplifies data analysis, allowing you to derive actionable biological findings faster.

Experience seamless and reliable data delivery with NPX normalization, robust quality controls, and complete control of your data at every workflow stage. Complemented by customized output files for easy integration.

By implementing protein normalization expression in Olink, researchers can ensure that protein data is accurate and consistent across a wide range of samples. NPX is a relative quantification unit that has a logarithmic relationship with protein concentration.

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*NPX (Normalized Protein Expression) is Olink's arbitrary unit for relative quantification of proteins. Quality control of assays: 1. The accuracy of the calculated mean concentration for the Sample Control for each assay is evaluated and must fall within +/- 30% of the known concentration. 2.

Feb 24, 2025 · To demonstrate how bridging works, we will use the example datasets (npx_data1 and npx_data2) from Olink Analyze package. This workflow also uses functions from the dplyr, stringr, and ggplot2 packages.

Individual Olink® NPX datasets are normalized using either plate control normalization or intensity normalization methods. Plate control normalization is generally used for single plate projects or for Explore HT projects, while intensity normalization is generally used for multi-plate projects.

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