Generally, the people who are able to create these custom tools for themselves end up working in smaller groups, and the people outside of these groups can’t replicate what they’ve been doing, because the tools are custom made. The problem with science moving in this direction, however, is that research is becoming more specialized and siloed. Paired with this, the number of new digital devices that people want to sample from and integrate into their existing systems is expanding.Īs a result of these converging trends, researchers are often forced to create their own workarounds, by sampling data into multiple pieces of software and then creating their own complex analysis tools in programs like Python or R. ADInstrument’s experience with customers has shown that as time goes on, there is more and more diversity in the type of questions scientists are trying to answer, and as a result, researchers are looking for greater flexibility within the tools that they use, for both sampling and analyzing their data. The idea for producing such an innovative, new piece of software like LabChart Lightning stemmed from two major trends that seen within the scientific community.įirstly, research is diversifying, rapidly. The vision behind LabChart Lightning: Flexible analysis tools and calculations.
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