New Data Modeling Software Bioprocess Monitoring with Real Time Viable Cell Density Measurement

Source: Press release

Hamilton has recently launched its new software ‘ArcAir Data Modeling’ – AADM – that precisely correlates in-line measurement data from the company’s Incyte Arc sensor with off-line viable cell counts over the complete duration of the run.

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Hamilton introduces its new software ‘ArcAir Data Modeling’.
Hamilton introduces its new software ‘ArcAir Data Modeling’.
(Source: Adobe Stock/Hamilton)

While the Incyte Arc sensor is a sensor to measure on-line viable cell volume (permittivity), many bioprocess operators would like an on-line measurement that is comparable with the historic off-line viable cell density measurement. The ArcAir Data Modeling now enables biomanufacturing companies to precisely steer their bioprocesses based on the viable cell density and reduce the need for frequent and tedious off-line sampling, states the company.

ArcAir Data Modeling is a multivariate data analysis (MVDA) software that combines multiple measurement parameters from Hamilton's Incyte Arc sensor into a soft sensor that provides a well-correlated cell density reading throughout the process. The software uses historical sets of frequency scan data from Incyte Arc along with off-line viable cell counts to closely correlate the in-line signal with off-line data points in bioprocesses in real time, adds the firm.

Historically, the correlation between in-line measurements and off-line cell counts was difficult as the measurements are based on different measurement principles. While the commonly used linear correlation method provides relatively precise data in the lag and exponential growth phases, due to the differing measurement principles data in the stationary and death phases differ from each other.

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