VisionSort: A New Dimension in Cell Analysis & Sorting
Watch: VisionSort: A New Dimension in Cell Analysis & Sorting (JPN/日本語)
VisionSort: A New Dimension in Cell Analysis & Sorting (JPN/日本語)
Watch: VisionSort: A New Dimension in Cell Analysis & Sorting
VisionSort for Cell Therapy R&D: T-Cells (JPN/日本語)
Watch: VisionSort for Cell Therapy (T-Cell) (JPN/日本語)
VisionSort for Cell Therapy R&D (JPN/日本語)
Watch: VisionSort for Cell Therapy R&D (JPN/日本語)
Watch: VisionSort: Applications in Stem Cell R&D Webinar
VisionSort: Applications in Stem Cell R&D Webinar
Learn more about VisionSort applications in stem cell R&D and regenerative medicine. Highlights include applications in induced pluripotent stem cells (iPSC), human mesenchymal stem cells (hMSC), and progenitor cells. Combining gentle microfluidics based sorting that maintains stem cell viability and differentiation potential with sensitive, label-free isolation of specific cell phenotypes, VisionSort is uniquely positioned to address fundamental challenges in stem cell R&D and regenerative medicine.
Label-free Isolation of Memory-type NK Cells for Cell Therapy R&D
Label-free Morphology-based Identification of T-Helper Cell Subsets
Gentle Label-Free Sorting of iPSCs with Maintenance of Viability and Quality
Morphology-based Assessment of Viral Load in Mammalian Cells
Label-free Identification of Proliferative hMSCs
Ghost Cytometry Explained in 2 minutes
Introduction to the VisionSort Platform
Introduction to the VisionSort Platform (JPN/日本語)
A Label-free Method to Determine the Glycolytic State of T cells for CAR T Generation
Label-free assessment of B cell differentiation by Ghost Cytometry
Characterization and label-free isolation of phenotypically defined human immune cells using Ghost Cytometry
VisionSort Technical Specifications
VisionSort Brochure
VisionSort Brochure (JPN/日本語)
Label Free Detection of Subtle Morphological Differences in Immune Cells
Label-free Macrophage Subtyping
As monocytes migrate into tissues, they differentiate into macrophages. Upon activation, macrophages can polarize and adopt two very different and biologically opposing phenotypes, termed M1 and M2. M1 macrophages are considered classically activated macrophages that mediate proinflammatory responses while M2 macrophages mediate anti-inflammatory responses, both by cytokine secretion. The balance of M1 and/or M2 macrophage polarization is known to be a mediator of physiological responses in tumor progression and as such, the ability to isolate cells in the two polarization states in purified populations is crucial for understanding the dynamics of tumor progression. We show here that VisionSort can be used to isolate pure populations of M1 and M2 macrophages […]
Regulatory T cell Characterization and Isolation
T cell Activation
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 in vitro activation is a 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 cells, giving investigators and drug developers activated T cells, untouched by external labels, for […]
Identification and Isolation of CAR-T Cells with Enhanced Therapeutic Efficacy
Chimeric antigen receptor T-cells (CAR-T) have emerged as an exciting new approach for the treatment of cancer, with over 500 CAR-T worldwide clinical trials underway in 2021.1 Conventional thinking was that all CAR-T cells have similar therapeutic potential, however new research has found that not all CAR-T cells are created equal. A recent study showed that CAR-T cells with lower levels of glycolysis led to better clinical responses in leukemia patients.2 Here we use VisionSort to identify metabolically distinct CAR-T cell subsets without the use of molecular labels or tags as an approach to identify cells with the potential for higher therapeutic efficacy.
