Tissuegnostics Precision that inspires
Webinar Diefenbach

Exploring the World of Multiplexing IF in Human Immune System Studies

Dr. Thomas Diefenbach, The Ragon Institute, Boston, presents various approaches for multiplexing IF utilizing the power of TissueFAXS high-throughput automated slide scanning and StrataQuest, the high-end image analysis solution. The webinar was recorded at the European Light Microscopy Initiative Meeting (ELMI) 2022 in Turku.

FF Project

Deep Learning for Oral Dysplasia Classification

TissueGnostics, the University Clinic of Dentistry, and the Danube Private University received FFG funding for their project AutOPathStage. The 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. The project team offers a postdoc position for a computer scientist.

TCells In CRLM

In-depth Analysis of Tissue-Resident Memory T cells in CRLM

This study from Liang et al. (University of Gothenburg) assessed phenotypic and functional characteristics of tumor infiltrating lymphocytes within colorectal liver metastases (CRLM). For the in-situ tissue cytometry analysis, with the main focus on CD103+CD8+ TRM cells, the power of TissueFAXS CHROMA and StrataQuest was utilized.

StrataQuest Apps

Experience TissueGnostics’ Streamlined Image Analysis Solutions

New exciting Apps are online now. Look through TissueGnostics’ StrataQuest Apps and get inspired by the variety of biomedical image analysis applications. If you cannot find the perfect solution for your research question, please contact us. TissueGnostics offers the development of customized Apps for your specific analysis needs.

HIV Lymph Nodes

Spatial Analysis of T Follicular Regulatory Cells in HIV

Mahlobo et al. published a study in BMC Immunology addressing the effect of HIV infections on frequencies, function, spatial localization and heterogeneity of T follicular regulatory cells (TFRs) in human lymph nodes. TFRs within lymph node tissues were quantified using TissueFAXS i PLUS and TissueQuest.

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