BaselineRemoval 0.0.4

Implementation of Modified polyfit method and IModPoly method for baseline removal

What is it?

Python package for baseline correction. It has below 2 methods for baseline removal from spectra.

• Modpoly Modified multi-polynomial fit [1]

• IModPoly Improved ModPoly[2], which addresses noise issue in ModPoly

We can use the python library to process spectral data through either ModPoly or IModPoly algorithm for baseline subtraction. The functions will return baseline-subtracted spectrum.

How to use it?

from BaselineRemoval import BaselineRemoval

input_array=[10,20,1.5,5,2,9,99,25,47]

polynomial_degree=2

baseObj=BaselineRemoval(input*array,polynomial*degree)

Modpoly_output=baseObj.ModPoly()

Imodpoly_output=baseObj.IModPoly()

print('Original input:',input_array)

print('Modpoly base corrected values:',Modpoly_output)

print('IModPoly base corrected values:',Imodpoly_output)

Original input: [10, 20, 1.5, 5, 2, 9, 99, 25, 47]

Modpoly base corrected values: [-1.98455800e-04  1.61793368e+01  1.08455179e+00  5.21544654e+00

  7.20210508e-02  2.15427531e+00  8.44622093e+01 -4.17691125e-03

  8.75511661e+00]
IModPoly base corrected values: [-0.84912125 15.13786196 -0.11351367  3.89675187 -1.33134142  0.70220645

 82.99739548 -1.44577432  7.37269705]

Where to get it?

pip install BaselineRemoval

Dependencies

• numpy

• scikit-learn

References

1. Automated Method for Subtraction of Fluorescence from Biological Raman Spectra by Lieber & Mahadevan-Jansen (2003)
2. Automated Autofluorescence Background Subtraction Algorithm for Biomedical Raman Spectroscopy by Zhao, Jianhua, Lui, Harvey, McLean, David I., Zeng, Haishan (2007)