Description Usage Arguments Value Author(s) Examples

Estimation, and noise removal using polynomial model.

1 | ```
noisepoly2D(object, gd = 20, power = 5, col = "green")
``` |

`object` |
S3 object of the working TLC |

`gd` |
Defines position of the center of the rectangular samples of the image background (above or bellow located spots). |

`power` |
Order of the polynome. |

`col` |
Color of the borders of the rectangles for bkg samples. |

Returns S3 object with new variables.

`object$noise_mat` |
The 3D matrix (width, height, number of spots) |

`object$noise_fit` |
Linear model for the polynomial fit |

`object$noisefit_spot_sums` |
Sums of the noise samples areas |

Ivan D. Pavicevic, ivanp84@gmail.com

1 2 3 4 5 | ```
## Not run:
#object is a tlc with 14 spots, and selection 50x80(wxh)
object <- noisepoly2D(object, gd=80, power=13)
## End(Not run)
``` |

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