This paper studies the effects of FIR filtering and introduces an adaptive
FIR filtering technique designed specifically to smooth one and two dimensi
onal accumulated flowcytometric particles through frequency histograms. The
adaptive smoothing technique illustrated here will be shown to be particul
arly useful in compensating the uneven histogram accumulation effects which
take place when data is accumulated at the lower histogram channels versus
the higher histogram channels. Linear smoothing techniques will not compen
sate for this phenomenon which is inherent to all histograms of accumulated
data. In this view, a thorough analysis is provided to deal with the dilem
mas imposed by the uneven accumulation of data within these kistograms.