Unmix FCS Data

This function performs spectral unmixing on FCS data using various methods.

unmix.fcs(
  fcs.file,
  spectra,
  asp,
  flow.control,
  method = "Automatic",
  weighted = FALSE,
  weights = NULL,
  af.spectra = NULL,
  spectra.variants = NULL,
  output.dir = NULL,
  file.suffix = NULL,
  include.raw = FALSE,
  include.imaging = FALSE,
  calculate.error = FALSE,
  use.dist0 = TRUE,
  divergence.threshold = 10000,
  divergence.handling = "Balance",
  balance.weight = 0.5,
  speed = "fast"
)

Arguments

fcs.file

A character string specifying the path to the FCS file.

spectra

A matrix containing the spectral data.

asp

The AutoSpectral parameter list. Prepare using get.autospectral.param

flow.control

A list containing flow cytometry control parameters.

method

A character string specifying the unmixing method to use. The default is Automatic, which uses AutoSpectral for AF extraction if af.spectra are provided and automatically selects OLS or WLS depending on which is normal for the given cytometer in asp$cytometer. This means that files from the ID7000, A8 and S8 will be unmixed using WLS while others will be unmixed with OLS. Any option can be set manually. Manual options are OLS, WLS, AutoSpectral, Poisson and FastPoisson. Default is OLS. FastPoisson requires installation of AutoSpectralRcpp.

weighted

Logical, whether to use ordinary or weighted least squares unmixing as the base algorithm in AutoSpectral unmixing. Default is FALSE and will use OLS.

weights

Optional numeric vector of weights (one per fluorescent detector). Default is NULL, in which case weighting will be done by channel means (Poisson variance). Only used for WLS.

af.spectra

Spectral signatures of autofluorescences, normalized between 0 and 1, with fluorophores in rows and detectors in columns. Prepare using get.af.spectra. Required for AutoSpectral unmixing. Default is NULL and will thus provoke failure if no spectra are provided and AutoSpectral is selected.

spectra.variants

Named list (names are fluorophores) carrying matrices of spectral signature variations for each fluorophore. Prepare using get.spectral.variants. Default is NULL. Used for AutoSpectral unmixing. Required for per-cell fluorophore optimization.

output.dir

A character string specifying the directory to save the unmixed FCS file. Default is NULL.

file.suffix

A character string to append to the output file name. Default is NULL.

include.raw

A logical value indicating whether to include raw expression data in the written FCS file. Default is FALSE.

include.imaging

A logical value indicating whether to include imaging parameters in the written FCS file. Default is FALSE.

calculate.error

Logical, whether to calculate the RMSE unmixing model accuracy and include it as a keyword in the FCS file.

use.dist0

Logical, controls whether the selection of the optimal AF signature for each cell is determined by which unmixing brings the cell closest to 0 (use.dist0 = TRUE) or by which unmixing minimizes the per-cell residual (use.dist0 = FALSE). Default is TRUE. Used for AutoSpectral unmixing.

divergence.threshold

Numeric. Used for FastPoisson only. Threshold to trigger reversion towards WLS unmixing when Poisson result diverges for a given point.

divergence.handling

String. How to handle divergent cells from Poisson IRLS. Options are NonNeg (non-negativity will be enforced), WLS (revert to WLS intial unmix) or Balance (WLS and NonNeg will be averaged). Default is Balance

balance.weight

Numeric. Weighting to average non-convergent cells. Used for Balance option under divergence.handling. Default is 0.5.

speed

Selector for the precision-speed trade-off in AutoSpectral per-cell fluorophore optimization. Options are the default fast, which selects the best spectral fit per cell by updating the predicted values for each fluorophore independently without repeating the unnmixing, medium which uses a Woodbury-Sherman-Morrison rank-one updating of the unnmixing matrix for better results and a moderate slow-down, or slow, which explicitly recomputes the unmixing matrix for each variant for maximum precision. The fast method is only one available in the AutoSpectral package and will be slow in the pure R implementation. Installation of AutoSpectralRcpp is strongly encouraged.

Value

None. The function writes the unmixed FCS data to a file.