ramanspy.preprocessing.protocols.georgiev2023_P1

ramanspy.preprocessing.protocols.georgiev2023_P1(normalisation_pixelwise: bool = True, fingerprint: bool = True) → Pipeline

The first preprocessing protocol used in the paper by Georgiev et al. (2023) [1].

Consists of the following steps:

• optional: spectral cropping to the fingerprint region (700-1800 cm-1);

• cosmic ray removal with Whitaker-Hayes algorithm;

• denoising with a Gaussian filter;

• baseline correction with Asymmetric Least Squares;

• Area under the curve normalisation.

Parameters:

• normalisation_pixelwise (bool, optional) – Whether to apply normalisation for each pixel individually or not. Default is True.

• fingerprint (bool, optional) – Whether to crop the spectra to the fingerprint region (700-1800 cm-1) or not. Default is True.

References

[1]

Georgiev, D., Pedersen, S.V., Xie, R., Fernández-Galiana, A., Stevens, M.M. and Barahona, M., 2023. RamanSPy: An open-source Python package for integrative Raman spectroscopy data analysis. arXiv preprint arXiv:2307.13650.

Example

pipeline = preprocessing.protocols.georgiev2023_P1()
preprocessed_data = pipeline.apply(data)