摘要: Flow cytometry is a constantly evolving field in terms of both technical advancements and biological applications. Early applications generally captured one or two fluorescent markers, together with light scatter information. With the exception DNA/cell cycle data, most these studies did not require complex data analysis. Historical approaches to analysis flow ranged from simply capturing oscilloscope patterns at time acquisition postacquisition manual Consensus for format files facilitated development software extended, Specialized such as unique programs properly analyze and, case cell cycling, deconvolute staining into more exacting estimates percentages cells each phase. Contemporary uses tend examine numerous cellular parameters polychromatic, panels, historical are proving be limited use high-dimensional data. Thus, much effort currently being directed toward developing automatic capable full mining displaying datasets. This reviews historic current including various ways
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