An automated approach for fringe frequency estimation and removal in infrared spectroscopy and hyperspectral imaging of biological samples.
extended multiplicative signal correction
fringes
infrared spectroscopy
preprocessing
Journal
Journal of biophotonics
ISSN: 1864-0648
Titre abrégé: J Biophotonics
Pays: Germany
ID NLM: 101318567
Informations de publication
Date de publication:
12 2021
12 2021
Historique:
revised:
23
08
2021
received:
05
05
2021
accepted:
28
08
2021
pubmed:
2
9
2021
medline:
24
12
2021
entrez:
1
9
2021
Statut:
ppublish
Résumé
In infrared spectroscopy of thin film samples, interference introduces distortions in spectra, commonly referred to as fringes. Fringes may alter absorbance peak ratios, which hampers the spectral analysis. We have previously introduced extended multiplicative signal correction (EMSC) for fringes correction. In the current article, we provide a robust open-source algorithm for fringe correction in infrared spectroscopy and propose several improvements to the Fringe EMSC model. The suggested algorithm achieves a more precise fringe frequency estimation by mean centering of the measured spectrum and applying a window function prior to the Fourier transform. It selects two frequencies from a user defined number of maxima in the Fourier domain. The improved Fringe EMSC algorithm is validated on two experimental datasets, one of them being a hyperspectral image. Techniques for separating sample spectra from background spectra in hyperspectral images, and techniques to identify spectra affected by fringes are also provided.
Identifiants
pubmed: 34468082
doi: 10.1002/jbio.202100148
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e202100148Informations de copyright
© 2021 The Authors. Journal of Biophotonics published by Wiley-VCH GmbH.
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