Get to Machine-Learning Ready Data Faster with Export Subsetting

While the industrial applications of fermentation continue to grow, underlying challenges to scaling up this fundamental process still remain. At the core of this lies a common challenge: a reliance on manual data collection and paper forms and notebooks, ad hoc process and parameter documentation, Excel spreadsheets with multiple versions that are difficult to track, inflexible ELNs and LIMs, and disparate data files from multiple instruments that are difficult to impossible to format and contextualize for statistical analysis. But there's hope: here's how a digital backbone can transform industrial fermentation.