Is the informing power of separation science without limits?
Separations science within microfluidics has already begun to make significant impact across any number of fields. But many times they are embedded within a larger system—their importance hidden or minimized.
Are the days numbered for long linear runs of univariate data in separation science?
I do not believe in classic linear separations anymore—further, I think separations science is wildly underdeveloped and under-appreciated.