Preprocessing Strategies for Sparse Infrared Spectroscopy: A Case Study on Cartilage Diagnostics

Preprocessing Strategies for Sparse Infrared Spectroscopy: A Case Study on Cartilage Diagnostics

The aim of the study was to optimize preprocessing of sparse infrared spectral data. The sparse data were obtained by reducing broadband Fourier transform infrared attenuated total reflectance spectra of bovine and human cartilage, as well as of simulated spectral data, comprising several thousand s...

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Bibliographic Details
Main Authors: Valeria Tafintseva, Tiril Aurora Lintvedt, Johanne Heitmann Solheim, Boris Zimmermann, Hafeez Ur Rehman, Vesa Virtanen, Rubina Shaikh, Ervin Nippolainen, Isaac Afara, Simo Saarakkala, Lassi Rieppo, Patrick Krebs, Polina Fomina, Boris Mizaikoff, Achim Kohler
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Molecules
Subjects:
preprocessing
sparse spectra
multiplicative signal correction
quantum cascade lasers
Online Access:https://www.mdpi.com/1420-3049/27/3/873

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https://www.mdpi.com/1420-3049/27/3/873

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