Smart chromatography applications create new possibilities
Smarter systems, machine learning and ever-increasing amounts of data are creating new possibilities to automate, reduce unplanned downtime or predict maintenance schedules. Early iterations of chromatography systems required their operators - typically a highly trained scientist in a high-tech research facility - to manually prepare each sample for the next experiment. While an analytical procedure or process can be as short as minutes or even seconds, typical sample preparation steps take hours to complete. The potential for optimization and automation is huge. Current systems are automated to much higher degrees and offer full workflow integration ranging from sample preparation to data analysis and visualization, thus widening the customer base to include a broader spectrum of professionals, not just specifically trained scientists. Find out how these developments are in part fueled by leaps in sensor technology in the specialist article or learn more about the markets for life sciences, diagnostics and analytical instruments.
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