Applies a transformation to the Frames
object in a way that the intensities
throughout the acquisition are normalized overall in term of pixel values sums.
It can be used to compensate for example a global change in the illumination values,
e.g. due to changed acquisition conditions in experiments that span long timescales.
normalizeFrames(frames, normFun = "median")
A Frames
object with normalized pixel values.
data(MesenteriumSubset)
normalizeFrames(MesenteriumSubset,normFun="median")
#> Frames
#> colorMode : Color
#> storage.mode : double
#> dim : 271 131 3 20
#> frames.total : 60
#> frames.render: 20
#>
#> imageData(object)[1:5,1:6,1,1]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] 0.2604547 0.3348703 0.2976625 0.2852599 0.2542534 0.2108443
#> [2,] 0.3720781 0.2976625 0.2852599 0.2480521 0.2232469 0.2170456
#> [3,] 0.3720781 0.3162664 0.2790586 0.2356495 0.2108443 0.2108443
#> [4,] 0.3720781 0.3348703 0.2790586 0.2418508 0.2232469 0.2232469
#> [5,] 0.3658768 0.3286690 0.2728573 0.2232469 0.2046430 0.2232469