Cargando…
Preclassification of Broadband and Sparse Infrared Data by Multiplicative Signal Correction Approach
Preclassification of raw infrared spectra has often been neglected in scientific literature. Separating spectra of low spectral quality, due to low signal-to-noise ratio, presence of artifacts, and low analyte presence, is crucial for accurate model development. Furthermore, it is very important for...
Autores principales: | Rehman, Hafeez Ur, Tafintseva, Valeria, Zimmermann, Boris, Solheim, Johanne Heitmann, Virtanen, Vesa, Shaikh, Rubina, Nippolainen, Ervin, Afara, Isaac, Saarakkala, Simo, Rieppo, Lassi, Krebs, Patrick, Fomina, Polina, Mizaikoff, Boris, Kohler, Achim |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9000438/ https://www.ncbi.nlm.nih.gov/pubmed/35408697 http://dx.doi.org/10.3390/molecules27072298 |
Ejemplares similares
-
Preprocessing Strategies for Sparse Infrared Spectroscopy: A Case Study on Cartilage Diagnostics
por: Tafintseva, Valeria, et al.
Publicado: (2022) -
Near Infrared Spectroscopy Enables Differentiation of Mechanically and Enzymatically Induced Cartilage Injuries
por: Nippolainen, Ervin, et al.
Publicado: (2020) -
Characterisation of Cartilage Damage via Fusing Mid-Infrared, Near-Infrared, and Raman Spectroscopic Data
por: Shaikh, Rubina, et al.
Publicado: (2023) -
Infrared spectroscopy is suitable for objective assessment of articular cartilage health
por: Virtanen, V., et al.
Publicado: (2022) -
Combination of optical coherence tomography and near infrared spectroscopy enhances determination of articular cartilage composition and structure
por: Sarin, Jaakko K., et al.
Publicado: (2017)