Eliminate data variability at the source
As scientists, we consider ourselves data-driven. Whether your research is centered in academia or industry, your next discovery will rely on your data. The ability to generate reliable, reproducible and high quality data should be a prerequisite for all laboratory instruments.
Every time you run an experiment you invariably introduce some level of error that impacts your results. Variability is hard to avoid, whether it is transferring your cell-based assay between instruments or manually assessing confluence. Whether the errors are human subjectivity, environmental factors or contamination, you are influencing your results. Completely eliminating this variability isn’t realistic, so you are forced to make concessions. But isn’t your data too important to compromise?
Spark is designed to address almost every detail of the most demanding assays and applications, delivering technologies that seamlessly work together to allow you to generate accurate and consistent data, each and every day.