The IF Artificial Skin App stratifies skin equivalents into dermis and epidermis, further dividing the epidermis into stratum corneum, suprabasal, and basal layers. It outputs area, mean staining intensity, nuclei counts, and % of marker-positive cells for each layer and sublayer. Read publication here 

Through the power of spatial phenotyping, we gain the ability to shine a spotlight on different cell types and their environments.

Pyknotic nuclei, key indicators of cell death, are critical in histopathology and disease research. Using advanced imaging and TissueGnostics’ IF Pyknotic Nuclei App, researchers can achieve automated, accurate detection and quantification for deeper diagnostic insights.

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.

Image-based cytometry is transforming tissue analysis by combining microscopy with flow cytometry features. It enables rapid, automated characterization of cells in their native environment, advancing pathology, oncology, and precision medicine with AI integration.

Multiplexing enables high-content phenotyping by analyzing multiple markers in a single tissue section. Combined with TissueFAXS CHROMA and StrataQuest Apps, it delivers detailed insights into tumor microenvironments and complex cellular interactions.

Accurate cell segmentation is the foundation of tissue cytometry. AI-powered methods, such as deep learning, improve accuracy, reduce errors, and streamline workflows. TissueGnostics integrates AI-based segmentation with phenotyping, spatial analysis, and dot detection.

Imaging Mass Cytometry (IMC) expands mass cytometry with laser ablation and metal-tagged antibodies, enabling visualization of 40+ markers in tissue. IMC reveals cellular phenotypes in their native microenvironment, supporting research in oncology, immunology, and precision medicine.

Imaging Mass Cytometry (IMC) enables visualization of 40+ markers in tissue using metal-tagged antibodies and mass spectrometry. Combined with StrataQuest analysis, IMC supports single-cell detection, co-expression studies, and spatial mapping for advanced biomedical insights.

Spatial phenotyping combines whole-slide imaging and advanced analysis to study cellular phenotypes in their native context. This approach is key in immunotherapy research, enabling insights into the tumor microenvironment and supporting informed treatment strategies.

In Trillium Diagnostik, Dr. Felicitas Mungenast and Alexander Stickler-Barang highlight the role of immunophenotyping in tissue sections for diagnosing diseases. The full article is available in German.

PD-L1 expression has emerged as a predictor of treatment response in cutaneous leishmaniasis. Using StrataQuest image analysis, researchers quantified immune markers and parasites, highlighting PD-L1 as a potential host-directed therapeutic target.

Multispectral cytometry resolves spectral overlap to enable accurate, high-parameter analysis of cells and tissues. Learn how this technology, paired with spectral unmixing and advanced imaging, expands applications from cancer research to immunotherapy.

Prof. Florian Gruber and Christopher Kremslehner (MedUni Vienna) present a metabolic imaging workflow integrating TissueFAXS i PLUS and StrataQuest to study UV-induced effects on skin (Redox Biology).

Choe et al. (UCSF) report in Science Translational Medicine on SynNotch-CAR T cells in a glioblastoma PDX model. In-situ T cell dynamics were imaged with TissueFAXS and quantified via StrataQuest.

Giotakis et al. (MedUni Innsbruck) characterized epithelial, connective tissue, and immune cells in chronic rhinosinusitis using TissueFAXS and StrataQuest contextual analysis.

A recent publication in the Journal of Neuroscience Research from a research group from Medical University of Innsbruck addresses expression patterns, subcellular location, and age-dependent changes of HCN (voltage gated channel) across different mammalian species. TissueFAXS PLUS and HistoQuest were used to assess expression of HCN in-situ.

Prof. Klein’s group (Nature Communications) analyzed breast cancer xenografts to study early metastasis drivers and microenvironmental signals, using TissueFAXS i PLUS and HistoQuest.