Functional profiling at single cell resolution within a heterogeneous cell population offers a unique signature into cellular interactions. Single cell functional analysis enables the stratification of data from many assays from each immunophenotype in a time lapsed data output.
Meet the Vivacyte™ platform
A fully automated immunotherapy assay platform with applications spanning R&D through manufacturing
Co-Culture Array Chip
VivaCyte Instrument
AI-Based Image Analysis
CO-CULTURE ARRAY (CC-Array™) CHIP
- Generate 19,000 co-cultures with varying E:T
- 16 separate experiments per chip
- Up to 8 chips per experiment
- Rapid perfusion of wells
Rapid liquid exchange
The Open Microwell technology enables replacement of media in microchannels and in each 0.5nL microwell without displacing cells previously loaded. This powerful feature allows instantaneous resuspension of cells in new fluids. Multiple media and reagents can be sequentially loaded to implement an endless number of assays on the same cells.
VIVACYTE INSTRUMENT
A “Lab In a Box” with a fully contained robotic platform with image analysis and environmental control
Incubation
Control of temperature, CO2 level and humidity
High-content imaging
Brightfield + up to 8 fluorescence channels
Robotics
Chip and plate handling, tube de-capping, barcode
Liquid handling
Sample / reagent mixing, chip loading, disposable tips
Analytical Software
A suite of software tools allows you to analyze single-cell data or compare varying E:T in relation to serial killing, cytotoxicity, cytokine release and other intracellular assays as they occur in a given immunophenotype. All within one experiment
Analytical interface
AI-assisted cell detection and classification, followed by powerful dashboard enable deep single-cell multiplex and time-lapse analytics at your fingertips
Co-culture screener
In a few clicks select hundreds to thousands of co-cultures with similar patterns (e.g. single immune cells surrounded by a specific range of target cells)
Serial killing analysis
Measure serial killing with single-cell resolution and in time lapse. Compare multiple donors or multiple gene edit based on quantitative analysis
Multiple E:T analysis
Cluster data based on cell-cell interaction patterns and compare functional readouts at multiple effector : target ratios with just one single microfluidic channel