Imaging Services for Tumor Immune Microenvironment

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Imaging Services for Tumor Immune Microenvironment

Introduction of tumor immune microenvironment

The entire process of tumor immunotherapy is akin to a "black box" in that scientists already understand the input information "immunotherapy" and the output "tumor regression". However, little is known about what important cellular and molecular events occur at what time and place during the entire treatment process. There are many elements involved in the tumor microenvironment with complex relationships, and conventional methods can hardly meet the dual requirements of the tumor microenvironment for phenotype identification and localization analysis. For example, genotyping or flow cytometric typing can identify different phenotypes but cannot determine the spatial location of these components in tissue in situ; immunohistochemistry can provide morphological location information but lacks enough marker types to identify different cell phenotypes.

Services

Alfa Oncology investigates imaging methods to assess the spatial and temporal patterns of the tumor immune microenvironment. We integrate multiple imaging techniques, and our services include, but are not limited to:

The multilabel landscape analysis solution utilizes multicolor labeling technology, spectral imaging technology and quantitative pathology analysis technology to accurately identify and quantify different targets in tumor tissue in situ, making it an essential and important tool for current tumor microenvironment research.

The in vivo optical imaging technology provided by Alfa Oncology has the advantages of visualization, high spatial and temporal resolution, high sensitivity, real-time dynamics and multi-channel detection. It allows long time range dynamic study of multiple immune cell aggregation, migration and cell contact events within the tumor microenvironment during tumor immunotherapy. It provides intuitive visualization and dynamic information for the analysis of relevant immunological mechanisms, and has shown its great potential for application in the field of tumor immunology research.