By applying a biexponential transform to 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…
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Biexponential Scaling. Biexponential scaling is an option that allows log- scaled data that is on or below the baseline to be displayed on scale. Examples of Biexponential Scaling. Discussion of biexponential…
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Biexponential scaling: Proper adjustment of biexponential scaling is important to clearly and completely visualize all populations: Expanded harmonization guidelines from second ICS dating panel: Dump Marker: Gate using the dump…
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Biexponential scaling helps visualize data that is compressed against the low x- and y- axes. “Squished” data is easily viewed by adding a section of linear scale to log acquired…
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The biexponential scale is a combination of linear and log scaling on a single axis using an arcsine function as its backbone. The “logicle” implementation of biexponential was implemented in…
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There are two scaling options available: logarithmic or biexponentialscaling. Biexponential scaling allows visualization of values below zero. In contrast, logarithmic scaling compresses the channels of visual space as the…
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The biexonential scale is a combination of linear and log scaling on a single axis using an arcsine function as its backbone. Biexponential scales are more generally referred to as…
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The biexonential scale is a combination of linear and log scaling on a single axis using an arcsine function as its backbone. The “logicle” implementation of biexponential was implemented in…
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When you need to change between different axis scalings simply choose from the FCS Express drop down which scale to apply to your data. All commonly used axis scalings for…
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scales_flowjo_biexp: Add a flowJo biexponentialscale to the x or y axes of a... scales_flowjo_fasinh: Add a flowJo inverse hyperbolic sine scale to the x or y axes... scale_x_flowCore_fasinh: Add…
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Examples. Run this code. data (GvHD) fr <- GvHD [ [1]] p <- ggcyto (fr, aes (x = `FL1-H`)) + geom_density () #display at raw scale p #display at transformed…
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