Language:

Vibrational spectroscopic image analysis of biological material using multivariate curve resolution-alternating least squares (MCR-ALS)

Nature protocols, 2015-02, Vol.10 (2), p.217-240 [Peer Reviewed Journal]

COPYRIGHT 2015 Nature Publishing Group ;COPYRIGHT 2015 Nature Publishing Group ;Copyright Nature Publishing Group Feb 2015 ;Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. 2014. ;(c) Felten, Judith et al., 2015 info:eu-repo/semantics/openAccess ;ISSN: 1754-2189 ;ISSN: 1750-2799 ;EISSN: 1750-2799 ;DOI: 10.1038/nprot.2015.008 ;PMID: 25569330

Full text available

Citations Cited by

Actions
1. Add to My Research
2. Remove from My Research
3. E-mail
4. Print
5. Permalink
6. Citation
7. EasyBib
8. EndNote
9. RefWorks
10. Delicious
11. Export RIS
12. Export BibTeX

Title:
Vibrational spectroscopic image analysis of biological material using multivariate curve resolution-alternating least squares (MCR-ALS)
Author: Felten, Judith ; Hall, Hardy ; Jaumot, Joaquim ; Tauler, Romà ; de Juan, Anna ; Gorzsás, András
Subjects: Algorithms ; Animals ; Anàlisi multivariable ; Biochemistry and Molecular Biology ; Biokemi och molekylärbiologi ; Biological materials ; Biomedical materials ; Chemical composition ; Chemical compounds ; Chemical properties ; Chemical research ; Cluster analysis ; Clustering ; Composition ; Data analysis ; Data processing ; Electronic data processing ; Espectroscòpia d'infraroigs per transformada de Fourier ; Espectroscòpia Raman ; Fourier analysis ; Fourier transform infrared spectroscopy ; Fourier transforms ; Gene mapping ; Genetic analysis ; Genetic factors ; Graphical user interface ; Image analysis ; Image processing ; Image Processing, Computer-Assisted - methods ; Image segmentation ; Infrared imagery ; Innovations ; Islets of Langerhans - chemistry ; Least squares ; Least-Squares Analysis ; Mathematical research ; Methods ; Mice, Inbred C57BL ; Microspectroscopy ; Multivariate Analysis ; Pixels ; Populus - chemistry ; Principal components analysis ; Processament d'imatges ; Raman spectroscopy ; Segmentation ; Spectra ; Spectroscopy, Fourier Transform Infrared ; Spectrum analysis ; Spectrum Analysis, Raman ; User-Computer Interface ; Vector quantization ; Xylem - chemistry
Is Part Of: Nature protocols, 2015-02, Vol.10 (2), p.217-240
Description: Raman and Fourier transform IR (FTIR) microspectroscopic images of biological material (tissue sections) contain detailed information about their chemical composition. The challenge lies in identifying changes in chemical composition, as well as locating and assigning these changes to different conditions (pathology, anatomy, environmental or genetic factors). Multivariate data analysis techniques are ideal for decrypting such information from the data. This protocol provides a user-friendly pipeline and graphical user interface (GUI) for data pre-processing and unmixing of pixel spectra into their contributing pure components by multivariate curve resolution-alternating least squares (MCR-ALS) analysis. The analysis considers the full spectral profile in order to identify the chemical compounds and to visualize their distribution across the sample to categorize chemically distinct areas. Results are rapidly achieved (usually <30-60 min per image), and they are easy to interpret and evaluate both in terms of chemistry and biology, making the method generally more powerful than principal component analysis (PCA) or heat maps of single-band intensities. In addition, chemical and biological evaluation of the results by means of reference matching and segmentation maps (based on k-means clustering) is possible.
Publisher: England: Nature Publishing Group
Language: English
Identifier: ISSN: 1754-2189
ISSN: 1750-2799
EISSN: 1750-2799
DOI: 10.1038/nprot.2015.008
PMID: 25569330
Source: Recercat
AUTh Library subscriptions: ProQuest Central
MEDLINE

Back to results list


INSPIRE LIBRARY - TON DUC THANG UNIVERSITY	(84-028) 37 755 057	Feedback
19 Nguyen Huu Tho St. Dist.7, HCM	thuvien@tdtu.edu.vn	Feedback

Vibrational spectroscopic image analysis of biological material using multivariate curve resolution-alternating least squares (MCR-ALS)

Searching Remote Databases, Please Wait