Application Notes

Multiplex fluorescence imaging of tonsil tissue analyzed in StrataQuest to quantify and map T-cell subsets within and around germinal centers.

A case study using StrataQuest image analysis on IF-processed cultured cells. The workflow automated cell identification, nuclei and cytoplasm counting, and marker intensity quantification.

The newest StrataQuest supports in-depth neighborhood analysis with exportable data for statistics. It includes manifold learning (t-SNE, UMAP, SONG), violin plots, 3D diagrams, and other tools that give full control of data.

Multispectral imaging of inflamed colon TMA samples using TissueFAXS Spectra and StrataQuest. The workflow combines spectral unmixing, detailed immune cell phenotyping, tissue classification, and spatial analysis of the immune microenvironment.

Tissue microarray (TMA) analysis demonstrates automated detection of nuclei, epithelial cells, and membranes, combined with machine learning–based tissue classification and spatial analysis of immune cells.

Automated adipocyte detection and size measurement using the StrataQuest Adipocyte App. The workflow identifies adipocytes based on membrane detection and quantifies cell number, diameter, and size in H&E-stained fat tissue.

StrataQuest contextual image analysis reveals how CD4+ T helper cells interact with their native tumor microenvironment in colorectal cancer, a leading malignancy in Europe.

StrataQuest software quantified NCAM and Ki67 distribution in kidney cancer samples, demonstrating how 2-plex IHC staining can be applied to spatial analysis of tumor markers.

Automated detection and quantification of Leishmania donovani parasites in cell cultures and tissue using the StrataQuest Leishmaniasis App, enabling identification of infected cells and parasite load per cell.

Tumor growth depends on proximity to blood vessels. Using the IF Tumor Foci Angio App, researchers quantified tumor and non-tumor nuclei, vessel density, and distances of tumor cells from vasculature in brain tumor tissue, enabling advanced spatial analysis.

This case study demonstrates the use of StrataQuest’s IHC 2 App to quantify Ki-67 nuclear staining in colon tissue. The workflow enabled detection of total cell counts as well as the proportion of proliferating (Ki-67+) cells.

The IF Dots App in StrataQuest streamlines automated analysis of FISH stainings by detecting nuclei and quantifying dots per cell. This case study shows how the workflow enables accurate, exportable data for genetics research and clinical applications.

StrataQuest enables high-content image analysis of IMC datasets. This case study demonstrates single-cell and proximity measurements across 30 markers within one tissue section for comprehensive phenotyping.