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How does FlowJo choose the gates to create the G1, S and G2 subpopulations?

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How does FlowJo choose the gates to create the G1, S and G2 subpopulations?

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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.

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