Cargando…
Exploring the Steps of Infrared (IR) Spectral Analysis: Pre-Processing, (Classical) Data Modelling, and Deep Learning
Infrared (IR) spectroscopy has greatly improved the ability to study biomedical samples because IR spectroscopy measures how molecules interact with infrared light, providing a measurement of the vibrational states of the molecules. Therefore, the resulting IR spectrum provides a unique vibrational...
Autores principales: | Mokari, Azadeh, Guo, Shuxia, Bocklitz, Thomas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574384/ https://www.ncbi.nlm.nih.gov/pubmed/37836728 http://dx.doi.org/10.3390/molecules28196886 |
Ejemplares similares
-
Spectral Efficiency Improvement Using Bi-Deep Learning Model for IRS-Assisted MU-MISO Communication System
por: Aziz, Md Abdul, et al.
Publicado: (2023) -
Exploring novel secondary metabolites from natural products using pre-processed mass spectral data
por: Kim, Hyun Woo, et al.
Publicado: (2019) -
Spectral imaging with deep learning
por: Huang, Longqian, et al.
Publicado: (2022) -
Ir: theory and practice of infrared spectroscopy
por: Alpert, Nelson L, et al.
Publicado: (1970) -
FLIM data analysis based on Laguerre polynomial decomposition and machine-learning
por: Guo, Shuxia, et al.
Publicado: (2021)