The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Vibrational spectroscopic image analysis of biological material using multivariate curve resolution–alternating least squares (MCR-ALS)
Open accessAbstract
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.
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Cites
Smoothing and Differentiation of Data by Simplified Least Squares Procedures.
Savitzky, A., & Golay, M. J. E. (1964) · Analytical Chemistry · doi:10.1021/ac60214a047 · Cited by 21,904
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
Bioucas-Dias, J. M., Plaza, A., Dobigeon, N., Parente, M., Du, Q., Gader, P., & Chanussot, J. (2012) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2012.2194696 · Cited by 2,836
Vertex component analysis: a fast algorithm to unmix hyperspectral data
Nascimento, J. M. P., & Dias, J. M. B. (2005) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2005.844293 · Cited by 2,669
Classification of Lignins from Different Botanical Origins by FT-IR Spectroscopy
Faix, O. (1991) · Holzforschung · doi:10.1515/hfsg.1991.45.s1.21 · Cited by 1,276
Jaumot, J., Gargallo, R., de Juan, A., & Tauler, R. (2005) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2004.12.007 · Cited by 1,148
Self-citationInteractive self-modeling mixture analysis
Windig, W., & Guilment, J. (1991) · Analytical Chemistry · doi:10.1021/ac00014a016 · Cited by 1,028
Selectivity, local rank, three‐way data analysis and ambiguity in multivariate curve resolution
Tauler, R., Smilde, A., & Kowalski, B. (1995) · Journal of Chemometrics · doi:10.1002/cem.1180090105 · Cited by 930
Self-citationMadden, H. H. (1978) · Analytical Chemistry · doi:10.1021/ac50031a048 · Cited by 742
Plomion, C., Leprovost, G., & Stokes, A. (2001) · Plant Physiology · doi:10.1104/pp.010816 · Cited by 704
Plomion, C., Leprovost, G., & Stokes, A. (2001) · PubMed · Cited by 663
Cited by
Using Raman spectroscopy to characterize biological materials
Butler, H. J., Ashton, L., Bird, B., Cinque, G., Curtis, K., Dorney, J., Esmonde-White, K., Fullwood, N. J., Gardner, B., Martin-Hirsch, P. L., et al. (2016) · Nature Protocols · doi:10.1038/nprot.2016.036 · Cited by 1,309
Ferro, L., Gojkovic, Z., Gorzsás, A., & Funk, C. (2019) · Molecules · doi:10.3390/molecules24183237 · Cited by 65
Self-citationLi, X., Sha, J., Chu, B., Wei, Y., Huang, W., Zhou, H., Xu, N., & He, Y. (2019) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2019.04.048 · Cited by 52
Metadata
- Authors
- Felten, J., Hall, H., Jaumot, J., Tauler, R., de Juan, A., & Gorzsás, A.
- Venue
- Nature Protocols
- Published
- 2015-01-08
- Volume
- 10
- Issue
- 2
- Pages
- 217-240
- ISSN
- 1750-2799 (ISSN-L)
- 1754-2189
- OpenAlex
- W2077458217
- Cited by
- 309
- References
- 37
- FWCI
- 18.04
- Type
- journal article
- Language
- en
- Open access
- green
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