As a first step, columns of experimental parameters can be filtered or rearranged to those that are meaningful for the current application.
Often different columns need to be combined with each other to express ratios or to calculate averages. Consequently, there are different column functions that can be applied to create mathematical formulas or calculation of averages and standard deviations. Column functions can be created by the researcher using a graphical dataflow chart that allows the combination of numerical columns, the comparison of character strings or the use of boolean operations. A lot of common column functions are already available. To apply these, the researcher selects the appropriate input columns and labels the result. In addition, more advanced functions like calculation of digital biomass from 2 side views and a top view area are also predefined and can be easily applied.