Calculate FP concentration in molar units — calc

Takes as input timecourse plate reader data processed with process_plate and uses normalised/calibrated values to calculate FP concentration. Adds column(s) for FP concentration as either: (a) normalisedFP/cellvolume (rfu/L), (b) calibratedFP/cellvolume (moles/L, or M). Plots results and returns df.

calc_fpconc(
  data_csv,
  flu_channels,
  flu_labels,
  remove_wells,
  get_rfu_vol = TRUE,
  get_mol_vol = FALSE,
  od_specific_total_volume = NULL,
  odmeasure = NULL,
  odmeasure_conversion = NULL,
  outfolder = "."
)

Arguments

data_csv	path to a csv file containing processed plate reader data
flu_channels	the column names for the NORMALISED fluorescence data
flu_labels	the column names for the CALIBRATED fluorescence data
remove_wells	list of coordinates of wells to be removed from analysis (eg. empty wells)
get_rfu_vol	logical. if TRUE, uses normalised_FP and OD-specific cell volume (`od_specific_total_volume`, specified in ul) to calculate FP concentration as FP/cellvolume in relative fluorescence units/litre (rfu/L).
get_mol_vol	logical. if TRUE, uses calibrated_FP and OD-specific cell volume (`od_specific_total_volume`, specified in ul) to calculate FP concentration as moles/L in Molar (M) units.
od_specific_total_volume	numeric. OD600-specific total cellular volume in ulOD-1cm, ie. the total cellular volume represented by 1 OD600 unit (in 1 cm path length). Recommended value is 3.6 from Volkmer et al., 2011.
odmeasure	character. Which OD measurement is being used in the data? Specifically, which measurement is represented by the 'normalised_OD_cm1' column? eg. "OD600" or "OD700". Purpose is to record this in the table.
odmeasure_conversion	numeric. How to convert the measurement specified by odmeasure to OD600? ie. OD600 = ODused / x. Use '1' for OD600 (no conversion) and 0.79 for OD700.
outfolder	path to folder where output files should be saved. Defaults to current working directory.

Value

a data.frame with columns for each FP/cell calculation

Examples

conc_data_mCherry <- calc_fpconc(data_csv = "mcherry_parsed_processed.csv", flu_channels = c("red1red1"), flu_labels = c("mCherry"), remove_wells = c("A11"), get_rfu_vol = TRUE, get_mol_vol = TRUE, od_specific_total_volume = 3.6, odmeasure = "OD700", odmeasure_conversion = 0.79, outfolder = file.path("plots"))