Introduction:

T cell activation is a critical step in the adaptive immune response. Studying the mechanisms of T cell activation is an important part of modern immunology research and identifying activated versus non-activated T cells is a critical requirement for cell therapy drug development programs. However, current methods to isolate activated T cells require labeling with T-cell markers (e.g. CD8) and key extracellular molecular activation indicators (such as CD38, CD45RO, and HLA-DR) with fluorescently tagged antibodies; a process that can interfere with downstream R&D assays and requires label removal in cell therapy development. The VisionSort platform enables label-free sorting of T cell subsets based on morphology, giving investigators and drug developers the cells they need, untouched by external labels, for use in downstream assays and cell therapy development programs. In this research collaboration with the University of Tokyo, we use a mouse model of T cell activation to show how the VisionSort platform can be used to achieve label-free sorting of T cells by activation state.

Summary:

1. A high throughput approach to identify activated murine cytotoxic T cells without external labels
2. Label-free isolation of activated T cells for life science is a critical requirement, and VisionSort provides an effective solution.
3. This has practical implications for immunology research and cell therapy development

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