The logarithmic scale has the major disadvantage that it cannot display values below zero. This is a severe limitation when performing software compensation when it is common that a significant proportion of the data goes below zero. When displayed on a log scale, the negative values are placed on the axis, and it is very easy to be mislead and overcompensate your data.
To overcome this limitation, several additional scalings have been performed. These scalings share the general characteristic that they behave linearly close to zero, and behave logarithmically farther away from zero. These scalings also are defined to be able to graph data below zero. Scalings that are a combination of linear and log scalings are called hybrid scalings.
FCS Express supports several different hybrid scaling and you can choose whichever you want from the Axis Formatting screen.
- linear - standard linear scaling. (can display values below zero)
- Biexponential -The biexponential display was popularized by the
BD FACSDiva software. As a result of our close collaboration with BD,
Express now supports all of the options that FACSDiva does in terms of
displaying biexponential data. In fact, we have implemented FACSDiva's
proprietary algorithm for calculating the reflection point, so the
FCS Express will look identical to the results from the FACSDiva
- log - standard log scaling
- Hyperlog™ - a hybrid scaling described in: Bagwell, CB. (2005). Hyperlog-a flexible log-like transform for negative, zero, and positive valued data. Cytometry. 64: 34-42.
- Log With Negative - a modified log scale that can display negative values. An artificial symmetry is created at zero and negative values are displayed to the "negative" side of the axis.
- Lin/Log - a hybrid scaling that is perfectly linear below a user defined transition point, and purely logarithmic above it.
A great features is that gates can be drawn in any scale, and displayed appropriately in any other scale. Notice how the straight lines of the polygon gate in linear space become curved when displayed in log space. The reflects the non-intuitive mapping of the linear to logarithmic coordinates.
\A detailed description of the hyperlog and biexponential transformations can be found here.