Cell line development workflow has significant data challenges due to the sheer amount of data generated during high throughput, months-long processes.

This becomes even more challenging when multiple analytical instruments are used to generate different types of data, often in different formats. 

The hit picking steps require that the data must be tracked with these hits. This involves moving data across different plates and wells. The data must be traced throughout the cell line development process to ensure that any cell lines that move into manufacturing have the requisite historical data (e.g. proof of monoclonality) and that all data is easily accessed for reporting needs. However, copying and reformatting data in Microsoft Excel is inherently an error-prone process, particularly when trying to correlate data from different analyzers Automation can help ensure accurate data tracking throughout a lengthy workflow, such as the months-long multi-step cell line development workflow. We demonstrate the data handling capabilities of Biomekand DART software, behind the scenes of an automated process.