MICROSCOPY & IMAGING
imaging platform and StrataQuest image analysis software. Another application of tissue
cytometry in cancer research concerns tumour vasculature, which is crucial for keeping the tumour alive and facilitating its often-extensive growth. (Fig. 1). One relevant aim is to assess the number of tumour and non-tumour nuclei, the number of blood vessels, and to evaluate the distance of tumour cells from blood vessels within the tumour area in combination with the distribution of individual cancer foci in multi-focal tumours. Automated analysis workfl ows can be established using the IF Tumor Foci Angio App, a separate add-on solution for StrataQuest. Additionally, TG’s tissue cytometry workfl ow can be adapted to the scanning/analysis of tissue microarrays. In the example shown in Fig. 2. the samples are stained with multiple markers for immune checkpoint relevant targets. Multispectral imaging combined with spectral unmixing technology, available in TissueFaxs
Spectra, is useful to increase the number of markers visualised in the same sample. StrataQuest was further used within the study to decipher the immune microenvironment through the detection of single cells, in-depth phenotyping of the subpopulations, assessment of epithelium and stroma,
Fig. 1. In-depth analysis of the tumour vasculature using tumour cell- and blood vessel detection, and proximity measurements
and spatial analysis of histological entities and corresponding cellular subpopulations.
STREAMLINED SOLUTIONS FOR SPATIAL PHENOTYPING TG’s products include advanced solutions for contextual tissue cytometry and quantitative/computational pathology. T e instruments are available in multiple confi gurations for brightfi eld, fl uorescence, multispectral and confocal, as well as high- throughput scanning/whole slide imaging. In terms of image analysis, StrataQuest is capable of performing phenotypic and
functional characterisation of cellular sub-populations in spatial contexts using antibody labelling, FISH, CISH, RNA- ISH, RNAScope, or any other staining technique. T e company’s multiplexing and spectral unmixing solutions allow for the visualisation of multiple markers without channel bleed through, which is important for follow-up precise image analysis. TG’s tissue cytometry solutions provide data that perfectly matches the current trend of exploring multiple markers within tissue sections on the level of individual cells to better understand interactions as well as spatial relationships among and between diff erent tissue compartments, cell types, and cellular subpopulations.
References 1. Ioannidis JP. Why most published research fi ndings are false. PLoS Med. 2005 Aug;2(8):e124. doi: 10.1371/
journal.pmed.0020124. Epub 2005 Aug 30. Erratum in: PLoS Med. 2022 Aug 25;19(8):e1004085. PMID: 16060722; PMCID: PMC1182327. 2. Liang, F.; Nilsson, L.M.; Byvald, F.; Rezapour, A.; Tafl in, H.; Nilsson, J.A.; Yrlid, U. A Fraction of CD8+ T Cells from Colorectal Liver Metastases Preferentially Repopulate Autologous Patient-Derived Xenograft Tumors as Tissue-Resident Memory T Cells. Cancers 2022, 14, 2882.
https://doi.org/10.3390/ cancers14122882
Fig. 2. Comprehensive phenotypical analysis including single cell detection, tissue classifi cation and assessment of spatial relationships
Anastasiia Marchuk & Felicitas Mungenast are with TissueGnostics.
www.tissuegnostics.com
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