. . . which applies our proprietary ultra-wide-bandwidth dielectric spectroscopy to characterise cells in unprecedented detail. By measuring each cell across four decades of frequency, we generate a rich digital fingerprint that captures its structural and functional state. AuraCyt™ extracts 507 data dimensions per cell, providing deep insight into both membrane characteristics and internal properties linked to cell health, productivity, and quality. This level of resolution enables powerful applications, including predictive modelling of cell behaviour, precise population profiling, and the early identification of high-value phenotypes.
Celledonia™ is revolutionising biotechnology, from development to manufacturing. It accelerates biological drug discovery and development, and streamlines manufacturing.
By harnessing the power of dielectric spectroscopy and microelectronics, AuraCyt™ characterises cells without the need for labels. This improves the pace and accuracy of single cell analysis.
AuraCyt™ addresses the analytical challenges of cell and gene therapy developers, with fast and sensitive detection of single-cell attributes. The platform generates predictive analytics for consistent decision-making without operator bias.
AuraCyt™ is the only scalable technology that can measure cellular physiology, based on real-time intrinsic single-cell properties.
Cells are applied to the Celledonia™ module directly from the culture vessel in their native media. A microfluidics device passes the cells across our proprietary sensor, measuring electric field distortions over an ultra-wide range of frequencies, capturing both membrane and intracellular features simultaneously.
The AuraCyt™ software converts these measurements into a digital fingerprint for each cell, enabling quantification of cell count and concentration, tracking of population dynamics, and prediction of cell behaviour. This generates true digital data that can be integrated with future AI/ML platforms, providing a scalable and versatile foundation for advanced cell analysis.
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