In the newest version of StrataQuest, it is now possible to perform in-depth neighborhood analysis and get the numerical data for statistical analysis. Take full control of your data with a number of tools available directly in the software: manifold learning (t-SNE, UMAP, SONG), violin plots, 3D diagrams and much more.
TissueFAXS cytometers offer a streamlined workflow for scanning tissue microarrays (TMAs), including preview scan, TMA detection, high acquisition scan, and visualization. This case study shows a TMA core of inflamed colon tissue acquired with TissueFAXS Spectra, the multispectral system of TissueGnostics.
A comprehensive analysis of T-cell communities was performed on a mIF stained tonsil specimen. Various T-cell phenotypes were detected and quantified with a focus on their spatial distribution. StrataQuest also offers data-mining options such as t-SNE, SONG or UMAP plots to investigate cellular populations in-depth.
The following example was analysed using the IF Tumor Foci Angio App. It was performed for the Johns Hopkins Hospital in New York. The aim was to evaluate the distance of tumor cells from blood vessels within the tumor cell clusters.
TissueGnostics contextual image analysis software, StrataQuest, is able to process high-content images (multiple channels/markers) of virtual tissue sections acquired via Imaging Mass Cytometry (IMC).
This case study looks at the contribution of immune cells to the tumor microenvironment. We identified in particular CD4+ cells, to stratify the tissue into tumor and stroma, and to analyze where CD4+ cells are located with respect to the tumor areas. The analysis process was fully automated by the StrataQuest App ‘IF Immune Status in situ’
Tissue microarrays (TMA) are small tissue sections used in research and clinics. StrataQuest was used to analyze a TMA sample stained for hematoxylin and for E-cadherin present in the cell membranes of epithelial cells. Another task was to develop a streamlined workflow for tissue classification.
The Adipocyte APP was designed from the ground up to be run in routine by staff untrained in image analysis and image processing. The picture set is loaded into StrataQuest and the results are calculated. The algorithm automatically eliminates adipocytes on the borders from the analysis.
The Leishmaniasis APP was designed to assist in immunology research into Leishmaniasis and can be adapted for research on other intracellular parasites. It can be used both on cell cultures and tissue sections.
This example shows how the IF Dots APP can be applied to clinical tissue FISH evaluations. The APP can also be applied to any analysis of dot sized objects, in conjunction with all other StrataQuest features.
Within the following two case studies, TissueGnostics´ image analysis solution, StrataQuest, was used to quantify 2-plex IHC processed tissue sections. Correct color separation is the most fundamental step of the analysis process. Additionally, the presented analysis workflows need minimal user input to optimize and are fully automated.
The following case study uses the StrataQuest image analysis solution for the analysis of a fixed and IF-processed monolayer of cultured cells. It shows how StrataQuest enables a simple and automated pipeline for cell identification and marker detection.
Ki-67 staining and evaluation is an integral part of cancer diagnosis. Automated tissue analysis can provide a valuable supplement to visual evaluation. The IHC2 APP is among the StrataQuest easiest to use APPs and requires very little preparation time.
