From time to time the question comes up, "why does my data look slightly different in FlowJo than it does in my acquistion software?". Well, sometimes vendors don't adhere to data standards, and sometimes the math that drives data display is slightly different. What follows should help clear up some hows and whys of data display, offer tips getting data looking the same and/or help clarify why we display data the way we do. We focus on Diva, and will be following up soon about Accuri, Coulter and other data files.
Why do my plots look different in FlowJo compared to BD FACSDiva?
This is due to the default transformation settings in the two software packages. Traditionally, without transformation, cells with negative fluorescence would be considered to have zero fluorescence and would begin to 'pile-up' on the axis. Fluorescent baseline subtraction error during acquisition is a fundamental of flow cytometry and is one reason why 'negative' fluorescence is observed. Traditional logarithmic scaling compresses the channels of visual space as the scale increases. This leads to 'visual misrepresentations' of dispersed populations in the lower ranges of the logarithmic scale and condensed populations in the higher ranges of the scale. By transforming the data, the scale is compressed in the lower range, typically from 1-10 or 1-100, leading to a more accurate visual representation of fluorescence units in the low range of the scale as compared to the higher range of the scale. Hence, using transformation provides a more precise visualization tool in comparing populations with low fluorescence versus those with high fluorescence.
BD FACSDiva Users:
1) Exporting from Diva should ALWAYS be done as FCS files and NOT as an experiment. Exporting your data as an experiment will alter your data and is designed for use in Diva for analysis.
2) FCS 3.0 data will be automatically transformed when loaded into FlowJo according to the default Preference settings. The automatic transformation can be turned OFF within the Preferences and also the transformation values can be changed here.
3) The Width Basis that Diva uses for its default transformation is set to -100. FlowJo uses a default Width Basis of -10. It is FlowJo's opinion that compressing 100 channels of space around zero may (in some cases) compact 'dim' populations into negative populations. This compaction is less likely to occur when using a Width Basis of -10. You can keep the Width Basis at -10 by default and increase it per parameter if needed. However, if you want your transformation to appear the same way in Diva and FlowJo, change the default transformation Width Basis in the FlowJo Preferences to -100.
4) If your data is exported from Diva as FCS 2.0, no transformation can be applied unless a compensation matrix is created in FlowJo.
5) Although FCS 3.0 data is automatically transformed using the default settings, transformation of any parameter can be changed using the 'T' button next to the parameter in the graph window (PC) or under Platforms>Biexponential Transformation (Mac).
Further FlowJo Biexponential Transformation information/examples can be found at:
Width-Basis Titration
Biexponential Cramps
Mac Version and Biex Transforms
Dongeloids Guide to Transforms