Platform
Our proprietary computer vision platform tracks complex cellular function and dynamics for thousands of cells simultaneously in label-free and fluorescence assays.
From signaling kinetics to complex phenotypes such as serial killing T cells, we offer a broad range of measurements to provide a complete characterization of biology at the cellular level.
-Comprehensive characterization of cell function over time at the single cell and population level
-Greater physiological relevance of assays through use of advanced readouts to better assess perturbation effect on cell function and disease progression, treatment efficacy, and toxicity
-Tracking of dynamic cell processes and cell fate decision making to better understand how cell populations of interest arise
Advantages over traditional microscope analysis
Capabilities
Cell differentiation
Follow the journey of every cell from start to finish. We provide rich data on the dynamic changes individual cells undergo each step of the way. Our data allows researchers to understand how and why each cell differentiates, enabling greater optimization of these cellular processes.
Cell interactions
Cell-cell communication is a vital biological process in both homeostasis and disease. In diseases such as cancer, tumor cells communicate extensively with their environment to survive and spread. Treatment modalities such as immunotherapies leverage communication between the immune system and tumor cells.
Our platform provides in-depth information on the dynamics underpinning these interactions at the single-cell and interaction level to better understand these phenomena. This information can be utilized to better design therapeutics targeting cellular interactions to treat disease.
Complex phenotypes
Homeostasis and disease are driven by the complex functional phenotypes of individual cells. Cell death, tumor cell treatment resistance, and T cell serial killing are just a few examples of cellular phenotypes driven by complex dynamic behaviors. Our platform pinpoints exactly which cells exhibit different phenotypes and the underlying dynamics giving rise to them. This data empowers researchers to better understand the nature of complex phenotypes and how they can be modulated.