Researchers quantified sensory and motor axons in the human brachial plexus using ChAT and neurofilament immunofluorescence. Automated whole-slide analysis revealed that sensory axons vastly outnumber motor axons, providing new insights into the neural control of fine hand movements.

A study in Diagnostic Pathology compared traditional pathologist scoring with digital image analysis for ERβ2 immunohistochemistry in prostate cancer tissue microarrays. Digital analysis demonstrated higher reproducibility and improved quantitative assessment of biomarker expression.

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.

In HNSCC, CD8+ T-cell infiltration is often impaired. Chuwen Li et al. used mIF, TissueFAXS Spectra, and StrataQuest to image and analyze the spatial distribution of Gal9+ CAFs and CD8+ T cells, complementing prior spatial transcriptomics.

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.

Dr. Lukas Kenner presents his research on STAT3’s dual role in prostate cancer. TissueFAXS, HistoQuest, and StrataQuest enabled whole-slide imaging and single-cell quantification.

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.

Savic et al. studied the role of Erk 1/2 kinases in ferroptosis induction in HNSCC. They found erastin to be a potent ferroptosis inducer, strongly dependent on Erk 1/2 activity. IHC-stained samples were quantified using TissueFAXS and HistoQuest.

Deep learning is transforming cell counting by enabling precise nuclei segmentation, even in dense tissue microenvironments. Learn how TissueGnostics applies deep neural networks (DNNs) to automate and improve accuracy in tissue cytometry workflows.

Cell counting is central to biomedical research, but accuracy depends on advanced algorithms. This blog explores manual vs automated methods, and how TissueGnostics’ AI-driven cell counting algorithms enable reliable, high-throughput image-based analysis.

Kaneko et al. (Scientific Reports, Nature) investigated CD4+ and CD8+ T-cell subsets in salivary glands of Sjögren’s syndrome patients using TissueFAXS with TissueQuest and StrataQuest for in-depth quantitative tissue cytometry.

Zhang et al. (Signal Transduction Targeted Therapy) studied Azvudine in SARS-CoV-2 infected macaques and COVID-19 patients. TissueFAXS Q and TissueQuest quantified viral load, immune status, and TUNEL staining in thymus tissue.

Histopathology is the scientific branch focusing on assessment of diseases by examining stained biological tissue sections, particularly in human subjects. This field can give immense insight into biological and medical areas of study.

Joint TissueGnostics & PreciPoint webinar on AI-driven image analysis tools: ML-based tissue classification, deep-learning nuclei segmentation, and spatial phenotyping in stained sections.