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 

This webinar explores how tissue cytometry enables investigation of fatty liver disease, providing insights into liver pathology and immune interactions.

TG and the University Clinic of Dentistry (Danube Private University) have received FFG funding for AutOPathStage. This project aims to develop a deep learning–based decision support system for classification of oral dysplasia – a disease of the oral cavity with malignant potential.

Zambrano et al. (MDPI Animals) visualized neutrophil extracellular traps (NETs) in bull sperm–neutrophil co-cultures using TissueFAXS i PLUS, revealing cytotoxic effects of NET-derived proteins/enzymes on sperm viability and fertility potential.

TG joins the FFG-funded COMET project microONE, investigating how micro- and nanoplastics may influence carcinogenesis and tumor progression. This pioneering research could have broad implications for human health.

Roeth et al. (RWTH Aachen) explore Magnetic Fluid Hyperthermia as a novel therapeutic approach for pancreatic cancer. TissueFAXS and StrataQuest supported marker analysis of pancreatic cancer organoids in this innovative study.

A study in Hernia (Prof. Uwe Klinge, Univ. Aachen) used TG’s tissue cytometry to characterize adaptive and innate immune cells in foreign body reaction, including high-content immunophenotyping and proximity analysis.

Dr. Johanna Strobl (MedUni Vienna) discusses her study on skin-resident memory T cells in graft-versus-host disease, using tissue cytometry to identify these cells directly in tissue.

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

A Cell study from MIT reveals that striosomes in the striatum are key for value-based learning, linking selective neural activity to decision-making. Using TissueFAXS SL Q+, researchers showed age and Huntington’s disease disrupt these circuits, impairing learning and motivation.