Description Usage Arguments Details Value Author(s) References See Also
Spillover information for a particular experiment is often obtained by
running several tubes of beads or cells stained with a single color that can
then be used to determine a spillover matrix for use with
compensate
.
When matching stain channels in x
with the compensation controls, we
provide a few options. If ordered
, we assume the ordering of the
channels in the flowSet object is the same as the ordering of the
compensation-control samples. If regexpr
, we use a regular expression
to match the channel names with the names of each of the compensation control
flowFrame
s (that is, sampleNames(x)
, which will typically be the
filenames passed to read.FCS
).
By default, we must "guess" based on the largest statistic for the
compensation control (i.e., the row).
Additionally, matching of channels to compensation control files can
be accomplished using the spillover_match
method, which allows
the matches to be specified using a csv file. The flowSet returned
by the spillover_match
method should then be used as the x
argument
to spillover
with prematched = TRUE
.
1 2 3 4 5 6 7 8 9 10 11 12 13 |
x |
A flowSet of compensation beads or cells |
unstained |
The name or index of the unstained negative control |
fsc |
The name or index of the forward scatter parameter |
ssc |
The name or index of the side scatter parameter |
patt |
An optional regular expression defining which parameters should be considered |
method |
The statistic to use for calculation. Traditionally, this has been the median so it is the default. The mean is sometimes more stable. |
stain_match |
Determines how the stain channels are matched with the compensation controls. See details. |
useNormFilt |
logical Indicating whether to apply a
|
prematched |
a convenience argument specifying if the channels have already been matched by spillover_match. This will override the values of unstained and stain_match with unstained = "unstained" and stain_match = "regexpr". |
exact_match |
a |
The algorithm used is fairly simple. First, using the scatter parameters, we restrict ourselves to the most closely clustered population to reduce the amount of debris. The selected statistic is then calculated on all appropriate parameters and the unstained values swept out of the matrix. Every sample is then normalized to [0,1] with respect to the maximum value of the sample, giving the spillover in terms of a proportion of the primary channel intensity.
A matrix for each of the parameters
B. Ellis, J. Wagner
C. B. Bagwell & E. G. Adams (1993). Fluorescence spectral overlap compensation for any number of flow cytometry parameters. in: Annals of the New York Academy of Sciences, 677:167-184.
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