Read Biotek Output CSV Files
plate_read_biotek(file, time_average = TRUE, second_wl = FALSE)The filepath to a .csv file, exported from a Biotek plate
reader.
Logical, whether to average the time points across different observations (LUM / OD) and pivot them to their own columns.
Whether to include the second wavelength when reading in data blocks, or to keep just the label and the first wavelength.
tibble::tibble()
file_data <- system.file(
"extdata",
"2024-02-29_vio_GFP_main.csv",
package = "wellr"
)
plate_read_biotek(file_data)
#> # A tibble: 14,304 × 7
#> time well od600 gfp_485 vio_575 vio_585 vio_595
#> <dbl> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 469. A01 0.041 260 0.042 0.041 0.041
#> 2 469. A02 0.043 258 0.044 0.044 0.043
#> 3 469. A03 0.043 258 0.044 0.044 0.044
#> 4 469. A04 0.044 254 0.044 0.044 0.044
#> 5 469. A05 0.044 256 0.044 0.044 0.044
#> 6 469. A06 0.043 255 0.044 0.044 0.044
#> 7 469. A07 0.043 244 0.044 0.044 0.044
#> 8 469. A08 0.045 252 0.045 0.045 0.045
#> 9 469. A09 0.045 251 0.045 0.045 0.045
#> 10 469. A10 0.045 247 0.045 0.046 0.045
#> # ℹ 14,294 more rows
plate_read_biotek(file_data, second_wl = TRUE)
#> # A tibble: 14,304 × 7
#> time well od600 gfp_485_530 vio_575 vio_585 vio_595
#> <dbl> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 469. A01 0.041 260 0.042 0.041 0.041
#> 2 469. A02 0.043 258 0.044 0.044 0.043
#> 3 469. A03 0.043 258 0.044 0.044 0.044
#> 4 469. A04 0.044 254 0.044 0.044 0.044
#> 5 469. A05 0.044 256 0.044 0.044 0.044
#> 6 469. A06 0.043 255 0.044 0.044 0.044
#> 7 469. A07 0.043 244 0.044 0.044 0.044
#> 8 469. A08 0.045 252 0.045 0.045 0.045
#> 9 469. A09 0.045 251 0.045 0.045 0.045
#> 10 469. A10 0.045 247 0.045 0.046 0.045
#> # ℹ 14,294 more rows