Bioprocessing Poster

Improving Cell Line Development Processes Through Accurate, Low Volume and Rapid Automated Cell Counting and Viability on the ICON™ Instrument Using STUDIUS™ Data Management Software

The Viability application on the ICON instrument was investigated in its ability to out-perform an established competitor automated cell counter in the detection of sample concentration and viability. A range of viabilities and concentrations across three cell lines were used to determine inter- and intra-sample variation, results of which indicate that ICON’s artificially intelligent detection is notably more accurate than its competitor.

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