at Google ScholarTitle data
Guo, Shuxia ; Ryabchykov, Oleg ; Ali, Nairveen ; Houhou, Rola ; Bocklitz, Thomas:
Chemometrics in Raman Spectroscopy.
In:
Comprehensive Chemometrics : Chemical and Biochemical Data Analysis. Second Edition. Volume 4. -
San Diego
: Elsevier
,
2020
. - pp. 333-359
ISBN 978-0-444-64166-3
DOI: https://doi.org/10.1016/B978-0-12-409547-2.14600-1
Abstract in another language
The whole chapter Chemometrics in Raman Spectroscopy aims for a full and comprehensive description of chemometrics in the context of Raman spectroscopy. In this chapter, we describe every aspect of the Raman spectral data analysis pipeline, which is composed of correction, standardization and analysis procedures, and highlight selected chemometric applications and emerging trends. Because correction and standardization approaches utilized for the analysis of Raman spectra have deeper physical or spectroscopic reasons, we start with an introduction into the physics of Raman spectroscopy. Thereafter, a section is presenting a full description of the analysis pipeline and we structured the section into preprocessing approaches, dimension reduction techniques and analysis methods. Finally, we highlight emerging trends in the field of chemometrics for Raman spectra and shortly summarize applications of chemometrics for Raman spectra of tissue and cells.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Keywords: | Chemometrics; Dimension reduction; Preprocessing; Raman spectroscopy; Statistical analysis |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz |
| Result of work at the UBT: | No |
| DDC Subjects: | 500 Science > 530 Physics |
| Date Deposited: | 17 May 2023 12:36 |
| Last Modified: | 17 May 2023 12:36 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/76320 |