LIVE T Cell Assay

From Live Cells to Insights:
Nanolive’s Next-Gen Immune Profiling Solution

The LIVE T Cell Assay combines label-free live cell imaging and AI-powered analysis to deliver continuous, multiparametric data – capturing dynamic immune interactions, cell activation, viability and killing efficiency without fluorescence.

Label-free,
non-invasive imaging

Hands-off,
one-click analysis

Petri dish

Label-free segmentation
for co-cultures of
effector cells and solid
or liquid tumor cells

Quantification<br />

Quantify T cell activity
and target cell death,
label-free

Optional correlative
fluorescence features
for functional analysis

Text Comprehensive, dynamic & multi-parametric
T cell:target cell interaction metrics title

Label-free effector and target cell segmentation and interaction analysis

Label-free effector and target cell segmentation and interaction analysis. Nanolive’s refractive index holotomographic images of T and target cells in co-culture (a) with digital T-cell segmentation (b) and target cell segmentation overlays (c), T cell activation and viability status (d), target cell viability status (e) and cell interaction dynamics overlays (f). All colored digital overlays were applied following analysis with the LIVE T Cell Assay. Full legend below.

Digital staining legend

The LIVE T Cell Assay is an advanced digital tool that uses refractive index-based imaging for precise, label-free segmentation and classification of target and effector cells in co-culture. Offering high spatio-temporal resolution, automated analysis, and unbiased insights, it accelerates the discovery of CAR-T, TCR-T, bispecific antibodies, and other immunomodulators.

Digital overlays enable automated data extraction on effector activation, target viability, and interaction dynamics, providing deep functional insights to optimize lead selection, assess potency, and enhance workflow efficiency in immuno-oncology and cell therapy research.

Images to insights simplified: EVE Explorer

Our integrated analysis interface for high-content live cell imaging data allows for quantification of cellular and organelle responses with an intuitive automated workflow, customizable plotting options, and seamless data management, enabling researchers to make data-driven decisions and focus on discovery.

EVE Interface

Advanced effector and target cell analysis for accelerating drug development

The LIVE T Cell Assay automatically extracts insights into target and effector cell viability, interactions, and T cell activation:

  • Measure T cell killing in real time with automated, label-free quantification of target and T cell viability
  • Quantify T and target cell interactions to assess immunomodulator efficacy and optimize lead candidate selection
  • Measure T cell activation status label-free and at every time point to assess persistence and efficacy of cell therapies

Additionally, optional fluorescence imaging can expand insights for T cell research. With EVE Explorer Pro, automated analysis enables users to effectively separate morphologically similar effector and target cell populations.

Advanced effector and target cell analysis

T cells and target cells treated with a bispecific antibody (orange) and negative control (grey) were imaged with Nanolive’s holotomography and analyzed with the LIVE T Cell Assay for multiparametric results.
Digital segmentation of live (green) and dead (orange) target cells at different timepoints allows for quantification of lethal fraction over time (a). Additionally, target cells (blue), T cells (red) and their interaction points (yellow) can be digitally segmented for unique interaction metrics including the average minimum distance between T cells and target cells [um] against time (b). Finally, AI-predicted T cell activation status, including active T cells (cyan), inactive T cells (purple), and dead T cells (orange) can be shown through digital segmentation and quantified; here active cells [%] (per fov) against time (c).

Digital staining legend 2

Applications

 

Immuno-oncology drug screening Immuno-oncology drug screening

        Assess the efficacy of T cell-based therapies,
        immune checkpoint inhibitors, and
        combination treatment

 

Monitor T cell activity Monitor T cell activity

        Use label-free, AI-predicted T cell activation
        status to evaluate effector persistence or
        exhaustion over time

 

 

CAR-T & TCR therapy development

        Optimize CAR-T and TCR engineering
        by assessing activation kinetics, target
        engagement and cytotoxicity

 

 

Antibody-Dependent Cell-Mediated Cytotoxicity  research

        Assess the potency of therapeutic antibodies
        by quantifying their ability to enhance
        immune-mediated killing of target cells

 

Product Presentation

Discover Nanolive’s Next-Gen Immune Profiling Solution

Immunotherapy has transformed the cancer treatment landscape, introducing a wide range of approaches that aim to enhance the immune system’s ability to recognize and eliminate cancer cells. From cell therapies such as CAR-T and TCR-T, to antibody-based treatments, including immune checkpoint inhibitors and bispecific antibodies, the field holds immense promise. Realizing this potential, however, requires more advanced in vitro technologies to accelerate and optimize preclinical development.

Early-stage research and development still lack tools that can accurately and dynamically assess immune cell function and potency. Existing technologies such as flow cytometry and fluorescence-based imaging often rely on endpoint measurements and fluorescent labelling, limiting real-time functional insights and introducing bias from phototoxicity. To address these limitations, Nanolive’s label-free technology offers a non-invasive solution for studying therapeutic efficacy and potency in real-time.

Join us online for the release of Nanolive’s next generation immunotherapy solution: the LIVE T Cell Assay.  This real-time digital assay combines label-free live cell imaging and AI-powered analysis to deliver continuous, multiparametric data—ranging from T cell activation to target cell interactions and killing.

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