How does FlowJo choose the gates to create the G1, S and G2 subpopulations?
We use published algorithms, accepted in the flow community as the best methods available. The Watson model fits Gaussian curves to G1 and G2 and does not fit the S phase (Watson, Chambers, & Smith: A Pragmatic Approach to the Analysis of DNA Histograms with a Definable G1 Peak. Cytometry 8:1-8 (1987)). The Dean-Jett-Fox model fits Gaussian curves to G1 and G2 and a polynomial to S phase (Fox: A Model for the Computer Analysis of Synchronous DNA Distributions Obtained by Flow Cytometry. Cytometry 1:71-80 (1980)). The two population modeling is done using the Dean-Jett-Fox algorithm.
Related Questions
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- How does FlowJo choose the gates to create the G1, S and G2 subpopulations?